Triple

T16839778
Position Surface form Disambiguated ID Type / Status
Subject Bordeaux–Toulouse railway line E409376 entity
Predicate servesCity P82 FINISHED
Object Langon E65928 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: Langon | Statement: [Bordeaux–Toulouse railway line, servesCity, Langon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langon
Context triple: [Bordeaux–Toulouse railway line, servesCity, Langon]
  • A. Langon chosen
    Langon is a commune in southwestern France’s Gironde department, known as a local center for wine production and river trade along the Garonne.
  • B. Lurgee
    "Lurgee" is a song by the English rock band Radiohead, featured on their 1993 debut album *Pablo Honey*.
  • C. Londa
    Londa is a town in the Indian state of Karnataka that serves as an important railway junction and gateway to the Western Ghats.
  • D. Lufton
    Lufton is a fictional aristocratic family name most notably associated with the character Lord Lufton in Anthony Trollope’s Barsetshire novels.
  • E. Graydon
    Graydon is a surname of English and Irish origin borne by various notable individuals, including those in politics, sports, and the arts.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b34f902c8190a334ba7caa04ce7e completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb177e288190b525e6d239892d26 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:23 a.m.