Triple

T11533870
Position Surface form Disambiguated ID Type / Status
Subject Saint Cedd E273494 entity
Predicate placeOfDeath P21 FINISHED
Object Lastingham E469780 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: Lastingham | Statement: [Saint Cedd, placeOfDeath, Lastingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lastingham
Context triple: [Saint Cedd, placeOfDeath, Lastingham]
  • A. Lastingham chosen
    Lastingham is a small historic village in North Yorkshire, England, noted for its ancient church and tranquil setting on the edge of the North York Moors.
  • B. Ketteringham
    Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
  • C. Hellingly
    Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
  • D. Warmingham
    Warmingham is a small rural village in Cheshire, England, known for its historic church and tranquil countryside setting.
  • E. Harrodstown
    Harrodstown was the original pioneer settlement that later became Harrodsburg, recognized as one of the earliest permanent European-American communities in Kentucky.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839a2c7081909c285d1f6beb971c completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e68577f5ec8190a46687119d288a36 completed April 20, 2026, 7:58 p.m.
Created at: April 8, 2026, 9:37 p.m.