Triple
T30807734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A201 road |
E784549
|
entity |
| Predicate | hasNearbyUndergroundStations |
P26735
|
FINISHED |
| Object | King's Cross St Pancras Underground station |
—
|
NE NERFINISHED |
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: King's Cross St Pancras Underground station | Statement: [A201 road, hasNearbyUndergroundStations, King's Cross St Pancras Underground station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyUndergroundStations Context triple: [A201 road, hasNearbyUndergroundStations, King's Cross St Pancras Underground station]
-
A.
hasNearbyUndergroundStationEntrance
Indicates that one entity is located close to an entrance of an underground (subway/metro) station.
-
B.
hasUndergroundFeatureNearby
Indicates that an entity is located close to an underground feature (such as a tunnel, cave, or buried structure).
-
C.
hasNearbyOvergroundLine
Indicates that one entity is located close to an above-ground railway or transit line associated with the other entity.
-
D.
subwayServiceAtNearbyStation
Indicates that there is subway service available at a station located near the referenced place or entity.
-
E.
nearestUndergroundStation
chosen
Indicates the relationship where a specific underground (subway/metro) station is the closest one in distance to a given location or entity.
- 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_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fec00f27988190955de6b6348a4d97 |
completed | May 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69febd52037c8190b475dbd50fdbc13e |
completed | May 9, 2026, 4:51 a.m. |
Created at: April 29, 2026, 8:43 p.m.