Triple
T30220718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 28th Street (IRT Broadway–Seventh Avenue Line) |
E768335
|
entity |
| Predicate | hasStationLetter |
P17387
|
FINISHED |
| Object | A |
—
|
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: A | Statement: [28th Street (IRT Broadway–Seventh Avenue Line), hasStationLetter, A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStationLetter Context triple: [28th Street (IRT Broadway–Seventh Avenue Line), hasStationLetter, A]
-
A.
hasStationCode
Indicates that an entity is associated with a specific station identification code.
-
B.
hasStationAt
Indicates that an entity maintains or operates a station located at a specified place.
-
C.
hasLetterDesignation
Indicates that an entity is assigned or associated with a specific letter-based designation or code.
-
D.
hasLetterName
Indicates that an entity is associated with a specific letter used as its name or designation.
-
E.
hasLetter
chosen
Indicates that one entity contains, includes, or is associated with a specific letter or character.
- 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_69f2247fd8b8819087fcf83cb7a05eb8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
Created at: April 29, 2026, 7:35 p.m.