Triple
T38161095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minories railway station |
E953019
|
entity |
| Predicate | nearbyLaterStation |
P199453
|
FINISHED |
| Object | Tower Gateway DLR 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: Tower Gateway DLR station | Statement: [Minories railway station, nearbyLaterStation, Tower Gateway DLR station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyLaterStation Context triple: [Minories railway station, nearbyLaterStation, Tower Gateway DLR station]
-
A.
nearbyTerminus
Indicates that one terminus (end point or final stop) is located close to another terminus in space.
-
B.
nearestEntranceStation
Indicates that one station is the closest entrance station to a given location or entity compared to all other candidate stations.
-
C.
operatorOfNearestStation
Indicates that an entity is the organization or operator responsible for managing the station that is geographically closest to a given reference point or entity.
-
D.
nearbyMajorStation
Indicates that one location is situated close to a major transportation station (such as a main train, bus, or metro hub).
-
E.
nearbyFormerStation
Indicates that one entity is located close to another entity that used to be a station but is no longer in operation.
- 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff397e19a88190a945b826159f5290 |
completed | May 9, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69ff392400d0819088d30d08d4a774bd |
completed | May 9, 2026, 1:39 p.m. |
| PDg | Predicate description generation | batch_69ff397d6a2081908fa8f62e8902421b |
completed | May 9, 2026, 1:41 p.m. |
Created at: May 3, 2026, 4:21 p.m.