Triple

T2310517
Position Surface form Disambiguated ID Type / Status
Subject EUS E51945 entity
Predicate stationName P8935 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: [EUS, stationName, Euston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euston
Context triple: [EUS, stationName, 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. 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.
  • D. Euston estate
    Euston estate is a large historic country estate in Suffolk, England, surrounding Euston Hall and encompassing extensive parkland and agricultural land.
  • E. Euston Underground station
    Euston Underground station is a major London Underground interchange serving the Euston mainline railway station on the Northern and Victoria lines.
  • 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc6098ce88190ba2e987e6f0737ac completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8959d860819095ea3113e3d9264e completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:49 p.m.