Triple
T2638077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria line |
E62794
|
entity |
| Predicate | hasInterchangeStation |
P2413
|
FINISHED |
| Object | Euston |
E9460
|
NE 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: Euston | Statement: [Victoria line, hasInterchangeStation, Euston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euston Context triple: [Victoria line, hasInterchangeStation, Euston]
-
A.
London Euston
chosen
London Euston is a major central London railway terminus and key hub for intercity services on the West Coast Main Line.
-
B.
Vauxhall Station
Vauxhall Station is a major transport hub in south London that serves both National Rail services and the London Underground on the Victoria line.
-
C.
Enfield station
Enfield station is a planned passenger rail stop in Enfield, Connecticut that will serve trains on the CTrail Hartford Line corridor.
-
D.
Ashbury and Euston
Ashbury and Euston are two fictional railway stations featured in Paula Hawkins' novel "The Girl on the Train," forming the endpoints of the protagonist's daily commute.
-
E.
Euston estate
Euston estate is a large historic country estate in Suffolk, England, surrounding Euston Hall and encompassing extensive parkland and agricultural land.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8e470ac8190bd0d6de6805afcd0 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90b628748190bdbb23f1d85bc3fd |
completed | March 10, 2026, 3:32 a.m. |
Created at: March 6, 2026, 9:53 p.m.