Triple

T17802491
Position Surface form Disambiguated ID Type / Status
Subject Rochelle Humes E444466 entity
Predicate placeOfBirth P1 FINISHED
Object Barking 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: Barking | Statement: [Rochelle Humes, placeOfBirth, Barking]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barking
Context triple: [Rochelle Humes, placeOfBirth, Barking]
  • A. Barking chosen
    Barking is a major transport hub and suburban district in East London, England, known for its busy railway and Underground interchange.
  • B. Rainham
    Rainham is a suburban town in East London, England, known for its residential character and proximity to the River Thames.
  • C. Dagenham
    Dagenham is a suburban town in East London, historically known for its large Ford car plant and extensive post-war housing estates.
  • D. Sidcup
    Sidcup is a suburban district in southeast London, England, known for its residential character, local colleges, and position within the London Borough of Bexley.
  • E. Barking Riverside
    Barking Riverside is a major riverside housing and regeneration development in East London, built on former industrial land along the River Thames.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488005a288190b7a2cffa590d2557 completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.