Triple

T4187434
Position Surface form Disambiguated ID Type / Status
Subject The Oval E88345 entity
Predicate locatedInArea P40 FINISHED
Object Sydenham E236913 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: Sydenham | Statement: [The Oval, locatedInArea, Sydenham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sydenham
Context triple: [The Oval, locatedInArea, Sydenham]
  • A. Sydenham
    Sydenham is a district in east Belfast, Northern Ireland, known for its residential areas and proximity to key transport links including George Best Belfast City Airport.
  • B. Sydenham chosen
    Sydenham is a suburban district in southeast London, England, known for its Victorian architecture, green spaces, and residential character.
  • C. Corringham
    Corringham is a small town and civil parish in the unitary authority of Thurrock in Essex, England, with historic roots and a largely residential character.
  • D. Tavistock
    Tavistock is a historic market town in Devon, England, known for its medieval abbey remains and association with the Russell family, Dukes of Bedford.
  • E. Tuddenham
    Tuddenham is a village and civil parish located in the county of Suffolk in eastern England.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0325a82c8190849d8a828e2c7b44 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5961c2ad08190a1bb13bf040481a1 completed March 14, 2026, 5:08 p.m.
Created at: March 9, 2026, 3:45 p.m.