Triple

T3471008
Position Surface form Disambiguated ID Type / Status
Subject Lambeth E73257 entity
Predicate contains P35 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: [Lambeth, contains, Kennington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kennington
Context triple: [Lambeth, contains, Kennington]
  • A. Kennington
    Kennington is a village and civil parish in Oxfordshire, England, situated just south of Oxford and known primarily as a residential commuter community.
  • B. 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.
  • 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. Southwark
    Southwark is a historic district in central London on the south bank of the River Thames, known for landmarks such as Borough Market, The Shard, and Shakespeare’s Globe.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb3af0cc81909e575828caeaeae0 completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680dd2c48190a06c5c320a06a71a completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.