Triple
T23965442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G14 (IND component) |
E604064
|
entity |
| Predicate | relatedToStationName |
P41163
|
FINISHED |
| Object | 74th Street–Broadway |
—
|
NE NERFINISHED |
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: 74th Street–Broadway | Statement: [G14 (IND component), relatedToStationName, 74th Street–Broadway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedToStationName Context triple: [G14 (IND component), relatedToStationName, 74th Street–Broadway]
-
A.
associatedWithStationName
chosen
Indicates a relationship where something is linked or connected to a particular station identified by its name.
-
B.
associatedStation
Indicates a relationship where one entity is linked or connected to a particular station as its relevant or related station.
-
C.
relatedStationNumber
Indicates that there is an associated or corresponding station identified by a particular station number.
-
D.
adjacentToStation
Indicates that one entity is located next to or immediately beside a station.
-
E.
regionServedByStation
Indicates that a particular geographic region is within the service coverage area of a given station.
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1d7077881909d4774b7040cd722 |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:24 p.m.