Triple
T762816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argonne National Laboratory |
E16107
|
entity |
| Predicate | hasFacility |
P105
|
FINISHED |
| Object |
Materials Engineering Research Facility
The Materials Engineering Research Facility is a specialized Argonne National Laboratory center focused on developing, scaling, and translating advanced materials and manufacturing processes for scientific and industrial applications.
|
E91620
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Materials Engineering Research Facility | Statement: [Argonne National Laboratory, hasFacility, Materials Engineering Research Facility]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Materials Engineering Research Facility Context triple: [Argonne National Laboratory, hasFacility, Materials Engineering Research Facility]
-
A.
Manufacturing Engineering Division
The Manufacturing Engineering Division is a technical unit within the American Society of Mechanical Engineers that focuses on advancing manufacturing technologies, practices, and professional development in the field.
-
B.
Institute for Materials Research
The Institute for Materials Research is a leading Japanese research center at Tohoku University specializing in advanced materials science and engineering.
-
C.
Chemical Sciences Laboratory
The Chemical Sciences Laboratory is a research division focused on studying atmospheric chemistry and related processes to improve understanding of air quality and climate.
-
D.
Physical Sciences Laboratory
The Physical Sciences Laboratory is a research division focused on studying atmospheric and related physical processes within NOAA’s Earth System Research Laboratories.
-
E.
ATF National Laboratory Center
The ATF National Laboratory Center is a specialized forensic science facility that supports the U.S. Bureau of Alcohol, Tobacco, Firearms and Explosives in criminal investigations involving firearms, explosives, arson, and related evidence.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Materials Engineering Research Facility Triple: [Argonne National Laboratory, hasFacility, Materials Engineering Research Facility]
Generated description
The Materials Engineering Research Facility is a specialized Argonne National Laboratory center focused on developing, scaling, and translating advanced materials and manufacturing processes for scientific and industrial applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Materials Engineering Research Facility Target entity description: The Materials Engineering Research Facility is a specialized Argonne National Laboratory center focused on developing, scaling, and translating advanced materials and manufacturing processes for scientific and industrial applications.
-
A.
Manufacturing Engineering Division
The Manufacturing Engineering Division is a technical unit within the American Society of Mechanical Engineers that focuses on advancing manufacturing technologies, practices, and professional development in the field.
-
B.
Institute for Materials Research
The Institute for Materials Research is a leading Japanese research center at Tohoku University specializing in advanced materials science and engineering.
-
C.
Chemical Sciences Laboratory
The Chemical Sciences Laboratory is a research division focused on studying atmospheric chemistry and related processes to improve understanding of air quality and climate.
-
D.
Physical Sciences Laboratory
The Physical Sciences Laboratory is a research division focused on studying atmospheric and related physical processes within NOAA’s Earth System Research Laboratories.
-
E.
ATF National Laboratory Center
The ATF National Laboratory Center is a specialized forensic science facility that supports the U.S. Bureau of Alcohol, Tobacco, Firearms and Explosives in criminal investigations involving firearms, explosives, arson, and related evidence.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a6841f388190a6d08c3bf5c17fe4 |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a66673d6288190bb6a68c6c376016e |
completed | March 3, 2026, 4:41 a.m. |
| NEDg | Description generation | batch_69a66b18f198819086dac829b8779dfa |
completed | March 3, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a66b91da5081909963905631641e0f |
completed | March 3, 2026, 5:03 a.m. |
Created at: March 1, 2026, 7:37 p.m.