Triple

T1897207
Position Surface form Disambiguated ID Type / Status
Subject River Kennet E37609 entity
Predicate passesThrough P225 FINISHED
Object Hungerford E42529 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: Hungerford | Statement: [River Kennet, passesThrough, Hungerford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hungerford
Context triple: [River Kennet, passesThrough, 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. 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.
  • C. Maurer
    Maurer is a German-language surname common in Switzerland, Germany, and Austria, borne by various notable figures in politics, sports, and the arts.
  • D. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • E. Mayr
    Mayr is a German surname most notably associated with Ernst Mayr, a pioneering evolutionary biologist and key architect of the modern synthesis in evolutionary theory.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb16f416c8190a49b24523b3a7f85 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaee6a048190afd01ab6339a2921 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:35 p.m.