Triple

T7869585
Position Surface form Disambiguated ID Type / Status
Subject Hugh Despenser the Younger E182704 entity
Predicate placeOfDeath P21 FINISHED
Object Hereford E65056 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: Hereford | Statement: [Hugh Despenser the Younger, placeOfDeath, Hereford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hereford
Context triple: [Hugh Despenser the Younger, placeOfDeath, Hereford]
  • A. Hereford
    Hereford is a small city in the Texas Panhandle known for its strong agricultural and cattle industry.
  • B. Hereford chosen
    Hereford is a cathedral city in Herefordshire, England, known for its historic architecture and role as a military and agricultural center.
  • C. Wellington, Shropshire
    Wellington, Shropshire is a historic market town in Shropshire, England, now part of the new town of Telford.
  • D. Swindon
    Swindon is a large town in Wiltshire, England, known as a major commercial and commuter hub in the southwest with strong railway and industrial heritage.
  • E. Yate
    Yate is a town in South Gloucestershire, England, known as a residential and commercial centre north of Bristol.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3848d6d88190830afcf04ad12154 completed March 31, 2026, 2:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5615a38c8190b11af9fe5b2e1422 completed March 31, 2026, 11:17 p.m.
Created at: March 30, 2026, 4:55 p.m.