Triple
T13764543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steinway Street |
E330703
|
entity |
| Predicate | hasServiceAtAllTimes |
P80472
|
FINISHED |
| Object | R train |
—
|
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: R train | Statement: [Steinway Street, hasServiceAtAllTimes, R train]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasServiceAtAllTimes Context triple: [Steinway Street, hasServiceAtAllTimes, R train]
-
A.
hasServiceTime
Indicates that an entity is associated with a specific duration or schedule during which a service is provided.
-
B.
servedByAtAllTimes
chosen
Indicates that one entity continuously provides service or support to another entity without interruption over the entire relevant time period.
-
C.
hasDailyService
Indicates that a service or operation occurs every day on a regular, scheduled basis.
-
D.
hasMaintenanceService
Indicates that an entity receives or is covered by a maintenance service provided by another entity.
-
E.
serviceOpenedBetween
Indicates that a service has been initiated or made available during the time interval between two specified points or events.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022690ac8190bd5410ecc659a2a7 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:10 p.m.