Triple

T7326845
Position Surface form Disambiguated ID Type / Status
Subject Castle Point E168896 entity
Predicate hasOfficialName P66 FINISHED
Object Castle Point Borough E441025 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: Castle Point Borough | Statement: [Castle Point, hasOfficialName, Castle Point Borough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castle Point Borough
Context triple: [Castle Point, hasOfficialName, Castle Point Borough]
  • A. Castle Point Borough Council
    Castle Point Borough Council is the local government authority responsible for providing municipal services and administration for the Borough of Castle Point in Essex, England.
  • B. Castle Point chosen
    Castle Point is a local government district and borough in south Essex, England, known for its coastal towns such as Canvey Island and Benfleet.
  • C. Buckhaven
    Buckhaven is a coastal town in eastern Scotland, situated on the Firth of Forth in the historic county of Fife.
  • D. Portchester
    Portchester is a village in Hampshire, England, known for its historic Roman fort and as the birthplace of author Neil Gaiman.
  • E. Lankershim
    Lankershim is a surname most notably associated with Isaac Lankershim, a 19th-century landowner and developer influential in the early growth of the Los Angeles area.
  • 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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0a755e88190a50126e2d1d6d4cb completed March 27, 2026, 9:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810cbd78c8190934dd5d4baa1a0a7 completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:03 p.m.