Triple
T790434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langley Research Center |
E16900
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Structures and Materials laboratories
Structures and Materials laboratories are specialized research facilities at NASA’s Langley Research Center focused on studying, testing, and developing advanced aerospace structures and materials.
|
E94015
|
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: Structures and Materials laboratories | Statement: [Langley Research Center, hasPart, Structures and Materials laboratories]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Structures and Materials laboratories Context triple: [Langley Research Center, hasPart, Structures and Materials laboratories]
-
A.
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.
-
B.
School of Materials Science and Engineering
The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.
-
C.
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.
-
D.
Department of Materials Science and Engineering
The Department of Materials Science and Engineering is an academic unit focused on studying and developing materials and their properties for engineering and technological applications.
-
E.
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.
- 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: Structures and Materials laboratories Triple: [Langley Research Center, hasPart, Structures and Materials laboratories]
Generated description
Structures and Materials laboratories are specialized research facilities at NASA’s Langley Research Center focused on studying, testing, and developing advanced aerospace structures and materials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Structures and Materials laboratories Target entity description: Structures and Materials laboratories are specialized research facilities at NASA’s Langley Research Center focused on studying, testing, and developing advanced aerospace structures and materials.
-
A.
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.
-
B.
School of Materials Science and Engineering
The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.
-
C.
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.
-
D.
Department of Materials Science and Engineering
The Department of Materials Science and Engineering is an academic unit focused on studying and developing materials and their properties for engineering and technological applications.
-
E.
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.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a79754988190ab494b1c54d6a2a4 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a67880f9608190b0676eb47ea99ca1 |
completed | March 3, 2026, 5:58 a.m. |
| NEDg | Description generation | batch_69a678f962c881909884c2af15f41d65 |
completed | March 3, 2026, 6 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a67953f2bc8190bbbf8d4ae9c2c3bc |
completed | March 3, 2026, 6:01 a.m. |
Created at: March 1, 2026, 7:38 p.m.