Triple

T19300977
Position Surface form Disambiguated ID Type / Status
Subject Henry Chadwick E482692 entity
Predicate placeOfBirth P1 FINISHED
Object Exeter, England NE NERFINISHED

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: Exeter, England | Statement: [Henry Chadwick, placeOfBirth, Exeter, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Exeter, England
Context triple: [Henry Chadwick, placeOfBirth, Exeter, England]
  • A. Exeter, Devon, England chosen
    Exeter, Devon, England is a historic cathedral city in southwest England known for its Roman origins, medieval architecture, and role as the county town of Devon.
  • B. Exeter
    Exeter is a historic cathedral city in Devon, England, known for its medieval architecture and role as a regional administrative and cultural center.
  • C. Exeter
    Exeter is a small borough in Luzerne County, Pennsylvania, situated in the Wyoming Valley near the Susquehanna River.
  • D. Exeter
    Exeter is a small town located in Otsego County in central New York State, known for its rural character and agricultural landscape.
  • E. Exeter
    Exeter is a small village in the Southern Highlands of New South Wales, Australia, known for its rural charm, cool climate, and English-style gardens and architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc8a2a5c8190bfe95e40d3c93a42 completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.