Triple

T11870491
Position Surface form Disambiguated ID Type / Status
Subject West Coast District Municipality E282394 entity
Predicate containsTown P847 FINISHED
Object Paternoster E926656 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: Paternoster | Statement: [West Coast District Municipality, containsTown, Paternoster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paternoster
Context triple: [West Coast District Municipality, containsTown, Paternoster]
  • A. Paternoster chosen
    Paternoster is a small, picturesque fishing village on South Africa’s West Coast, known for its whitewashed cottages, seafood, and unspoiled beaches.
  • B. Prater Violet
    Prater Violet is a short 1945 novel by Christopher Isherwood that blends satire and introspection in its portrayal of a screenwriter working on a film in pre–World War II Europe.
  • C. Pinmore
    Pinmore is a small rural settlement located in the council area of South Ayrshire in southwest Scotland.
  • D. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • E. Pulpit
    Pulpit was a prominent American Thoroughbred racehorse and influential sire known for producing multiple Grade 1 winners and shaping modern bloodlines.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be15fb2481908f514781ce2c617f completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281b0969c8190a8c0a01ca292cc84 completed April 29, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:43 p.m.