Triple
T15874993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broad Street Line local trains |
E384929
|
entity |
| Predicate | makesAllStops |
P120865
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Broad Street Line local trains, makesAllStops, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: makesAllStops Context triple: [Broad Street Line local trains, makesAllStops, true]
-
A.
trailStopOn
Indicates that one entity stops or terminates at the endpoint of a trail or path associated with another entity.
-
B.
isNonStop
Indicates that a service, trip, or process occurs from start to finish without any intermediate stops or interruptions.
-
C.
servedNonstopBy
Indicates that there is a direct, uninterrupted service (e.g., a route or connection) operating between two entities without any intermediate stops or transfers.
-
D.
stopsInCity
Indicates that a route, trip, or vehicle makes a scheduled stop within a specified city.
-
E.
stopsAtStation
Indicates that a vehicle or service halts at a particular station as part of its route or schedule.
- F. None of above. chosen
Provenance (4 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e174da2c2c819099ec46616798245a |
completed | April 16, 2026, 11:46 p.m. |
Created at: April 10, 2026, 4:51 a.m.