Triple
T2222440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kew Gardens–Union Turnpike |
E48170
|
entity |
| Predicate | hasStationLayoutFeature |
P6655
|
FINISHED |
| Object | separate fare control areas at different ends of mezzanine |
—
|
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: separate fare control areas at different ends of mezzanine | Statement: [Kew Gardens–Union Turnpike, hasStationLayoutFeature, separate fare control areas at different ends of mezzanine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStationLayoutFeature Context triple: [Kew Gardens–Union Turnpike, hasStationLayoutFeature, separate fare control areas at different ends of mezzanine]
-
A.
stationLayout
Indicates the spatial arrangement and structural organization of elements within a station.
-
B.
hasMountingFeature
Indicates that one entity includes or provides a structural feature intended for mounting or attaching another entity.
-
C.
hasStationBuilding
Indicates that a station is associated with or includes a station building as part of its facilities.
-
D.
hasTopFloorFeature
Indicates that a building’s top floor possesses a specific feature, attribute, or amenity.
-
E.
hasInteriorFeature
chosen
Indicates that an entity contains or includes a specific feature within its interior space.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03bfdd48190bfb96ec3e41c22dc |
completed | March 7, 2026, 6:05 a.m. |
| PD | Predicate disambiguation | batch_69abbdac31d8819092d17815e11921e9 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.