Triple

T7854072
Position Surface form Disambiguated ID Type / Status
Subject Peter Barlow E182126 entity
Predicate placeOfDeath P21 FINISHED
Object Charlton E236068 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: Charlton | Statement: [Peter Barlow, placeOfDeath, Charlton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlton
Context triple: [Peter Barlow, placeOfDeath, Charlton]
  • A. Charlton
    Charlton is a small town in upstate New York known for its rural character and residential communities.
  • B. Charlton chosen
    Charlton is a district in southeast London known for its historic village center, riverside industrial heritage, and the football club Charlton Athletic.
  • C. Charfield
    Charfield is a rural village and civil parish in South Gloucestershire, England, known historically for its former railway station and the 1928 Charfield rail disaster.
  • D. Chislehurst
    Chislehurst is a suburban district in southeast London known for its historic commons, caves, and affluent residential character.
  • E. Balham
    Balham is a residential district in south London, England, known for its vibrant high street, diverse community, and convenient transport links into central London.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a72cfdc8190a3186c4c2894f571 completed March 31, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b1e9e808190a0eb2dea5288e743 completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:51 p.m.