Triple

T8054892
Position Surface form Disambiguated ID Type / Status
Subject Hatfield Campus E187973 entity
Predicate isInSuburb P49504 FINISHED
Object Hatfield E211873 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: Hatfield | Statement: [Hatfield Campus, isInSuburb, Hatfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hatfield
Context triple: [Hatfield Campus, isInSuburb, Hatfield]
  • A. Hatfield
    Hatfield is a surname most prominently associated with Mark O. Hatfield, a long-serving U.S. senator and governor from Oregon.
  • B. Hatfield chosen
    Hatfield is a historic town in Hertfordshire, England, known for Hatfield House and its strong connections to Tudor and Stuart royal history.
  • C. Carlisle
    Carlisle is a historic borough in south-central Pennsylvania known for its military education institutions, colonial heritage, and role in the American Revolutionary era.
  • D. Carlisle
    Carlisle is a historic cathedral city and county town of Cumbria in North West England, near the Scottish border.
  • E. Winster
    Winster is a historic village in England’s Peak District, known for its traditional stone houses, former lead-mining heritage, and well-preserved conservation area.
  • 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fa16804819094926ff2ff053c80 completed March 31, 2026, 3:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5725c5308190b2eb565902124b10 completed March 31, 2026, 11:22 p.m.
Created at: March 30, 2026, 5:25 p.m.