Triple

T23036278
Position Surface form Disambiguated ID Type / Status
Subject Ham, Wiltshire E573602 entity
Predicate nearestLargeTown P1982 FINISHED
Object Hungerford 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: Hungerford | Statement: [Ham, Wiltshire, nearestLargeTown, Hungerford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hungerford
Context triple: [Ham, Wiltshire, nearestLargeTown, Hungerford]
  • A. Hungerford chosen
    Hungerford is a historic market town and civil parish in West Berkshire, England, situated on the River Kennet and the Kennet and Avon Canal.
  • B. Hensel
    Hensel is a German surname most notably associated with mathematician Kurt Hensel, known for introducing p-adic numbers.
  • C. Hartung
    Hartung is a German surname borne by various notable individuals across fields such as art, sports, and politics.
  • D. Gamelin
    Gamelin is a French surname most notably associated with General Maurice Gamelin, the commander-in-chief of the French Army at the start of World War II.
  • E. Hilbert
    Hilbert is the male player character and primary protagonist from the Pokémon Black and White video games in the fifth generation of the Pokémon series.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1850fe5348190b42259595d82cff4 completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:53 p.m.