Triple

T2812692
Position Surface form Disambiguated ID Type / Status
Subject Special Reconnaissance Regiment E54208 entity
Predicate garrisonLocation P40 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: [Special Reconnaissance Regiment, garrisonLocation, Hereford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hereford
Context triple: [Special Reconnaissance Regiment, garrisonLocation, Hereford]
  • A. Hereford chosen
    Hereford is a cathedral city in Herefordshire, England, known for its historic architecture and role as a military and agricultural center.
  • B. Hereford
    Hereford is a small city in the Texas Panhandle known for its strong agricultural and cattle industry.
  • 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. Bridgwater
    Bridgwater is a historic market town in Somerset, England, known for its maritime heritage and role in regional trade and industry.
  • 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde4a31d081909377044d5ff791b0 completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce9cd4ec81908900ffee0edb70ca completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.