Triple

T9222968
Position Surface form Disambiguated ID Type / Status
Subject Grove Park E221607 entity
Predicate hasNearbyArea P4647 FINISHED
Object Mottingham E329045 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: Mottingham | Statement: [Grove Park, hasNearbyArea, Mottingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mottingham
Context triple: [Grove Park, hasNearbyArea, Mottingham]
  • A. Mottingham chosen
    Mottingham is a suburban district in southeast London, England, known for its residential character and green spaces.
  • B. Mettingham
    Mettingham is a small rural village and civil parish in the English county of Suffolk, known for its historic moated site of Mettingham Castle.
  • C. Simington
    Simington is a surname variant of Symington, typically of Scottish origin and associated with families from places bearing that name.
  • D. Southbourne
    Southbourne is a village and civil parish in West Sussex, England, situated near Chichester on the south coast.
  • E. Thankerton
    Thankerton is a small village in South Lanarkshire, Scotland, situated within the historic district of Clydesdale.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda7903208190b4e29a1591aab78a completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0779de5a88190b6a9266c976e05b1 completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:28 p.m.