Triple
T9772481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richmond station |
E237159
|
entity |
| Predicate | hasLondonUndergroundPlatforms |
P89525
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Richmond station, hasLondonUndergroundPlatforms, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLondonUndergroundPlatforms Context triple: [Richmond station, hasLondonUndergroundPlatforms, 2]
-
A.
hasNationalRailPlatforms
Indicates that an entity possesses one or more platforms used by the national rail network for train services.
-
B.
hasSubwayPlatforms
chosen
Indicates that an entity is equipped with one or more platforms specifically serving a subway or metro rail system.
-
C.
hasPiccadillyPlatformsBetween
Indicates that one station has Piccadilly line platforms located between it and another station along the route.
-
D.
hasPiccadillyLinePlatforms
Indicates that an entity has platforms served by the Piccadilly Line.
-
E.
hasBakerlooPlatformsBetween
Indicates that there are Bakerloo line platforms located between two specified points or stations.
- 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0f5261481908d9bac8c43da5294 |
completed | April 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:26 p.m.