Triple
T14744189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRT 42nd Street Shuttle |
E346424
|
entity |
| Predicate | shuttleServiceSince |
P90773
|
FINISHED |
| Object | 1918-08-01 |
—
|
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: 1918-08-01 | Statement: [IRT 42nd Street Shuttle, shuttleServiceSince, 1918-08-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shuttleServiceSince Context triple: [IRT 42nd Street Shuttle, shuttleServiceSince, 1918-08-01]
-
A.
lastShuttleFlightDate
Indicates the calendar date on which the most recent shuttle flight associated with the subject took place.
-
B.
hasShuttleLine
Indicates that there is a shuttle service or route operating between the related entities.
-
C.
openedForShuttleService
chosen
Indicates that a location or facility has begun operating to provide shuttle transportation services.
-
D.
hasShuttlecraft
Indicates that an entity possesses, controls, or is equipped with one or more shuttlecraft.
-
E.
nextShuttleFlightAfterDisaster
Indicates the first shuttle flight that took place after a specified disaster event.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d002708190a32a4a45e96fc389 |
completed | April 14, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.