Triple
T9772482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richmond station |
E237159
|
entity |
| Predicate | hasLondonOvergroundPlatforms |
P90557
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Richmond station, hasLondonOvergroundPlatforms, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLondonOvergroundPlatforms Context triple: [Richmond station, hasLondonOvergroundPlatforms, 1]
-
A.
hasPiccadillyLinePlatforms
Indicates that an entity has platforms served by the Piccadilly Line.
-
B.
hasNationalRailPlatforms
Indicates that an entity possesses one or more platforms used by the national rail network for train services.
-
C.
hasBakerlooPlatformsBetween
Indicates that there are Bakerloo line platforms located between two specified points or stations.
-
D.
hasPiccadillyPlatformsBetween
Indicates that one station has Piccadilly line platforms located between it and another station along the route.
-
E.
ElizabethLinePlatformsOpened
Indicates that the platforms associated with the Elizabeth Line have been officially opened for public use.
- 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_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. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:26 p.m.