Triple
T4674884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. National Historic Chemical Landmark |
E103653
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
NHCL
NHCL is the abbreviation for the U.S. National Historic Chemical Landmark program, which recognizes and commemorates significant achievements in the history of chemistry.
|
E460950
|
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: NHCL | Statement: [U.S. National Historic Chemical Landmark, hasAbbreviation, NHCL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NHCL Context triple: [U.S. National Historic Chemical Landmark, hasAbbreviation, NHCL]
-
A.
NHCEL
NHCEL is the standard abbreviation for a National Historic Civil Engineering Landmark, a designation recognizing historically significant civil engineering works.
-
B.
HLC
HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
-
C.
NHSL
NHSL is a rapid transit line in the Philadelphia suburbs, operated by SEPTA between 69th Street Transportation Center and Norristown.
-
D.
NH
NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
-
E.
NH
NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
- 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: NHCL Triple: [U.S. National Historic Chemical Landmark, hasAbbreviation, NHCL]
Generated description
NHCL is the abbreviation for the U.S. National Historic Chemical Landmark program, which recognizes and commemorates significant achievements in the history of chemistry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NHCL Target entity description: NHCL is the abbreviation for the U.S. National Historic Chemical Landmark program, which recognizes and commemorates significant achievements in the history of chemistry.
-
A.
NHCEL
NHCEL is the standard abbreviation for a National Historic Civil Engineering Landmark, a designation recognizing historically significant civil engineering works.
-
B.
HLC
HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
-
C.
NHSL
NHSL is a rapid transit line in the Philadelphia suburbs, operated by SEPTA between 69th Street Transportation Center and Norristown.
-
D.
NH
NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
-
E.
NH
NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63544f68819084311416402696b0 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be039896448190bdfd3a6cb76a8fbe |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be055390c08190a85f92aec34b390a |
completed | March 21, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be05d5bd008190bd94bd70092e8dfd |
completed | March 21, 2026, 2:43 a.m. |
Created at: March 20, 2026, 1:15 p.m.