Triple
T936270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City Terminal Zone |
E20200
|
entity |
| Predicate | hasMajorFunction |
P88
|
FINISHED |
| Object | distribution of LIRR trains among New York City terminals |
—
|
LITERAL FINISHED |
How this triple was built (2 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: distribution of LIRR trains among New York City terminals | Statement: [City Terminal Zone, hasMajorFunction, distribution of LIRR trains among New York City terminals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorFunction Context triple: [City Terminal Zone, hasMajorFunction, distribution of LIRR trains among New York City terminals]
-
A.
hasPrimaryFunction
chosen
Indicates that one entity serves as the main or principal function or role of another entity.
-
B.
hasMajorComponent
Indicates that one entity includes another entity as a primary or most significant component or part.
-
C.
hasMajorCategory
Indicates that something is associated with or classified under a primary, overarching category.
-
D.
hasMajorResource
Indicates that an entity possesses or is characterized by a primary or most significant resource.
-
E.
hasMajorBranch
Indicates that one entity possesses or includes another entity as a primary or principal subdivision or branch.
- F. None of above.
Provenance (3 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b36558588190a2a9c710073624d1 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b29b245c8190b143f28b77fede3c |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.