Triple

T8899356
Position Surface form Disambiguated ID Type / Status
Subject Little Berkhamsted E211886 entity
Predicate nearestLargeTown P1982 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: [Little Berkhamsted, nearestLargeTown, Hatfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hatfield
Context triple: [Little Berkhamsted, nearestLargeTown, 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. Carlisle
    Carlisle is a small city located in central Iowa, United States, known for its close-knit community and proximity to the Des Moines metropolitan 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64278b208190afc3dec64ecdb0f5 completed April 1, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba212fd081909ae87853c81e1d30 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:54 p.m.