Triple
T14583393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 59th Street–Columbus Circle station |
E342249
|
entity |
| Predicate | openedForIRT |
P41908
|
FINISHED |
| Object | 1904 |
—
|
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: 1904 | Statement: [59th Street–Columbus Circle station, openedForIRT, 1904]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedForIRT Context triple: [59th Street–Columbus Circle station, openedForIRT, 1904]
-
A.
openedForThroughService
Indicates that an entity has been made accessible or available specifically for use via a through-service connection or route, rather than as a standalone endpoint.
-
B.
openedForServiceTo
Indicates that one entity has been made available or activated to provide service or functionality to another entity.
-
C.
opened
Indicates that one entity caused another entity (such as an object, container, or passage) to change from a closed or inaccessible state to an open or accessible state.
-
D.
openedForUse
Indicates that something has been made accessible and available for its intended operation or use.
-
E.
openedForServiceOnLine
chosen
Indicates that an entity (such as a facility or station) began operating and providing service on a specified transit or service line.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4209b988190ad2a7b2dead8ffed |
completed | April 14, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:24 a.m.