Triple

T11283967
Position Surface form Disambiguated ID Type / Status
Subject BR postcode area E267136 entity
Predicate coversTown P847 FINISHED
Object Keston Mark E239208 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: Keston Mark | Statement: [BR postcode area, coversTown, Keston Mark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keston Mark
Context triple: [BR postcode area, coversTown, Keston Mark]
  • A. Keston Mark chosen
    Keston Mark is a locality within the village of Keston in the London Borough of Bromley, England.
  • B. Johnny Markham
    Johnny Markham was a standout Negro league baseball player best known for his contributions to the Birmingham Black Barons.
  • C. Emmet Brickowski
    Emmet Brickowski is the optimistic everyman construction worker who becomes an unlikely hero and "Special" in the animated film *The Lego Movie*.
  • D. Matthew Skemp
    Matthew Skemp is a musician best known as a member of the experimental indie rock band Volcano Choir.
  • E. Jonny Keeling
    Jonny Keeling is a British television producer known for his work on major BBC natural history documentaries.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9855e8881909bd301718cbd8ca1 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f471490081909036362c58e1e727 completed April 19, 2026, 3:27 p.m.
Created at: April 8, 2026, 9:31 p.m.