Triple

T8307271
Position Surface form Disambiguated ID Type / Status
Subject Oval Underground Station E194493 entity
Predicate locatedIn P40 FINISHED
Object Kennington E168457 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: Kennington | Statement: [Oval Underground Station, locatedIn, Kennington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kennington
Context triple: [Oval Underground Station, locatedIn, Kennington]
  • A. Kennington chosen
    Kennington is a district in Central London, England, known for its residential character and proximity to major landmarks such as the Oval cricket ground and the River Thames.
  • B. Kennington
    Kennington is a village and civil parish in Oxfordshire, England, situated just south of Oxford and known primarily as a residential commuter community.
  • C. Bermondsey
    Bermondsey is a district in southeast London known for its riverside location along the Thames, regenerated warehouse areas, and vibrant food and arts scene.
  • D. Eltham
    Eltham is a suburban district in southeast London, England, known for its historic connections to the monarchy and the presence of the Art Deco–styled Eltham Palace.
  • E. Eltham
    Eltham is a small rural town in New Zealand’s Taranaki Region, known historically for its dairy industry and cheese production.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2a86bc81909749c40c640aa9f8 completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd955100448190862fd52d660585fd completed April 1, 2026, 9:59 p.m.
Created at: March 30, 2026, 5:54 p.m.