Triple
T17875923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Street–Sheridan Square |
E446951
|
entity |
| Predicate | stationLetter |
P29273
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Christopher Street–Sheridan Square, stationLetter, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationLetter Context triple: [Christopher Street–Sheridan Square, stationLetter, 1]
-
A.
stationName
Indicates the name assigned to a particular station in the relationship.
-
B.
stationNumber
chosen
Indicates the specific station identifier or code assigned to an entity within a system or network.
-
C.
stationType
Indicates the specific category or classification of a station based on its function, services, or operational characteristics.
-
D.
stationSlogan
Indicates the promotional phrase or tagline that is used to represent or advertise a particular station.
-
E.
terminusStation
Indicates that a station serves as the final endpoint or terminal stop for a given route or service.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa614b48190bdc9e905e9e6d5e0 |
completed | April 19, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:18 a.m.