Triple
T37006862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruislip Gardens station |
E915824
|
entity |
| Predicate | isInLondonSubRegion |
P186906
|
FINISHED |
| Object | West London |
—
|
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: West London | Statement: [Ruislip Gardens station, isInLondonSubRegion, West London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInLondonSubRegion Context triple: [Ruislip Gardens station, isInLondonSubRegion, West London]
-
A.
isInInnerLondon
Indicates that one location lies within the administrative area defined as Inner London.
-
B.
isOuterLondonBorough
Indicates that a borough is classified as part of Outer London rather than Inner London.
-
C.
hasOuterLondonBorough
Indicates that an entity is associated with, located in, or administered by a borough that is part of Outer London.
-
D.
hasLondonBorough
Indicates that an entity includes, contains, or is associated with a specific London borough as one of its administrative subdivisions.
-
E.
withinLondonCommuterBelt
Indicates that a location lies within the geographic area from which people commonly commute into London for work or study.
- 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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb154b5f8c819089103b41f51a1639 |
completed | May 6, 2026, 10:17 a.m. |
Created at: May 3, 2026, 4:14 p.m.