Triple

T19892371
Position Surface form Disambiguated ID Type / Status
Subject Charing Cross Underground station E478062 entity
Predicate hasFormerName P65 FINISHED
Object Strand station 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: Strand station | Statement: [Charing Cross Underground station, hasFormerName, Strand station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strand station
Context triple: [Charing Cross Underground station, hasFormerName, Strand station]
  • A. Strand station chosen
    Strand station was a former name of what is now Charing Cross Underground station on the London Underground network.
  • B. Vinstra Station
    Vinstra Station is a railway station in the town of Vinstra in Innlandet county, Norway, serving as a stop on the Dovre Line.
  • C. Triangeln station
    Triangeln station is an underground railway station in Malmö, Sweden, serving regional Øresund trains and connecting the city center with the Øresund Line.
  • D. Lechmere station
    Lechmere station is a Massachusetts Bay Transportation Authority (MBTA) Green Line light rail station serving the East Cambridge neighborhood of Cambridge, Massachusetts.
  • E. Universitet station
    Universitet station is a Moscow Metro station named after the nearby Moscow State University, serving passengers on the Sokolnicheskaya Line.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590ed7988190bc6b610d1f4fa194 completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.