Triple

T12306558
Position Surface form Disambiguated ID Type / Status
Subject EPIP Zone E293367 entity
Predicate locatedIn P40 FINISHED
Object Whitefield E60633 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: Whitefield | Statement: [EPIP Zone, locatedIn, Whitefield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitefield
Context triple: [EPIP Zone, locatedIn, Whitefield]
  • A. Whitefield chosen
    Whitefield is a suburban area and major IT hub in the eastern part of Bangalore, India, known for its technology parks, residential complexes, and shopping malls.
  • B. Whitefield
    Whitefield is a town in Greater Manchester, England, forming part of the Metropolitan Borough of Bury and the wider Manchester urban area.
  • C. Whitewell
    Whitewell is a small rural hamlet in Lancashire, England, known for its scenic setting in the Forest of Bowland and traditional stone buildings.
  • D. Whitfield
    Whitfield is an English-origin surname historically associated with figures such as Louise Whitfield Carnegie, the wife of industrialist and philanthropist Andrew Carnegie.
  • E. Middlesmoor
    Middlesmoor is a small, picturesque village in North Yorkshire, England, known for its scenic hilltop setting and views over the Nidderdale valley.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f00695c8190b7365e4593631690 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65e9e909081909b341398e7aae954 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:53 p.m.