Triple
T30441524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bx5 bus |
E774456
|
entity |
| Predicate | transitDistrict |
P195682
|
FINISHED |
| Object | New York City Transit Authority |
—
|
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: New York City Transit Authority | Statement: [Bx5 bus, transitDistrict, New York City Transit Authority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transitDistrict Context triple: [Bx5 bus, transitDistrict, New York City Transit Authority]
-
A.
terminusDistrict
Indicates the district or administrative area in which a route, line, or service ends or has its final terminus.
-
B.
partOfTransitSystem
Indicates that something is a component or segment within a larger transit or transportation system.
-
C.
publicTransportZone
Indicates that an entity is located within, associated with, or valid for a specific public transportation fare or service zone.
-
D.
connectsSubwayDivisions
Indicates that one entity serves as a link or junction that joins or integrates multiple subway divisions into a connected system.
-
E.
targetCityDistrict
Indicates that one entity is a specific city district that serves as the target or destination in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
| PDg | Predicate description generation | batch_69fddf70ab10819088b76bd98e208354 |
completed | May 8, 2026, 1:04 p.m. |
Created at: April 29, 2026, 8:08 p.m.