Triple

T748160
Position Surface form Disambiguated ID Type / Status
Subject Thomas Henry Huxley E15388 entity
Predicate birthPlace P1 FINISHED
Object Ealing E80137 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: Ealing | Statement: [Thomas Henry Huxley, birthPlace, Ealing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ealing
Context triple: [Thomas Henry Huxley, birthPlace, Ealing]
  • A. Hammersmith
    Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
  • B. Ealing, London chosen
    Ealing, London is a suburban district in West London known for its residential character, green spaces, and role as a filming location in British television and cinema.
  • C. Hounslow
    Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
  • D. Hillingdon
    Hillingdon is a suburban borough in West London, England, known for containing Heathrow Airport and a mix of residential areas, green spaces, and commercial hubs.
  • E. Kensington and Chelsea
    Kensington and Chelsea is a central-west London borough known for its affluent residential areas, cultural institutions, and landmarks such as Kensington Palace and the King's Road.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a62f31888190b80cb0a7220f8d80 completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5e92d6b0819091fad60317eee455 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:37 p.m.