Triple
T1305696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GLC |
E27871
|
entity |
| Predicate | stationType |
P27765
|
FINISHED |
| Object | terminus |
—
|
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: terminus | Statement: [GLC, stationType, terminus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationType Context triple: [GLC, stationType, terminus]
-
A.
stationName
Indicates the name assigned to a particular station in the relationship.
-
B.
stationComplex
Indicates a relationship where one entity is a station complex that encompasses or is associated with another station-related entity.
-
C.
transportationFacility
Indicates that one entity is a facility or location used for the transportation or transit of people or goods in relation to another entity.
-
D.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
E.
interchangeStation
Indicates a station where passengers can transfer between different routes, lines, or modes of transportation.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c15490a88190872c3d2698a8f9c9 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee9e4a88190b22ab2ee831a23c9 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c15361c8819094b8171e780b5560 |
completed | March 1, 2026, 10:44 p.m. |
Created at: March 1, 2026, 7:51 p.m.