Triple
T9584273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 168th Street (IND Eighth Avenue Line) |
E231247
|
entity |
| Predicate | hasLateNightService |
P24349
|
FINISHED |
| Object | A local service at night |
—
|
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 local service at night | Statement: [168th Street (IND Eighth Avenue Line), hasLateNightService, A local service at night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLateNightService Context triple: [168th Street (IND Eighth Avenue Line), hasLateNightService, A local service at night]
-
A.
servedByAtNight
chosen
Indicates that a service or location is operated, attended to, or provided specifically during nighttime hours.
-
B.
hasNightTubeServiceOn
Indicates that a transport service operates Night Tube (overnight) service on the specified day or line.
-
C.
has24HourOperations
Indicates that an entity operates continuously for 24 hours a day without closing.
-
D.
hasAfterHoursSession
Indicates that an entity conducts or participates in a session that takes place outside of regular or standard operating hours.
-
E.
isFullService
Indicates that an entity provides a complete range of services or functions, covering all major aspects typically expected in its domain.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99d080c88190a7d3876589d7b864 |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59fd7408190b36831902e3f37f7 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:06 p.m.