Triple

T18978345
Position Surface form Disambiguated ID Type / Status
Subject John Parish E464354 entity
Predicate familyName P18 FINISHED
Object Parish NE NERFINISHED

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: Parish | Statement: [John Parish, familyName, Parish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parish
Context triple: [John Parish, familyName, Parish]
  • A. Parish chosen
    Parish is a surname most famously associated with Robert Parish, the Hall of Fame center who won multiple NBA championships with the Boston Celtics.
  • B. Manchester Parish
    Manchester Parish is a parish in west-central Jamaica known for its capital town Mandeville and its cool, elevated interior.
  • C. Mustvee Parish
    Mustvee Parish is a rural municipality in Jõgeva County, Estonia, encompassing the small town of Mustvee and surrounding villages along the shores of Lake Peipus.
  • D. Whiteparish
    Whiteparish is a village and civil parish in Wiltshire, England, known for its rural setting and historic parish church.
  • E. Church Village
    Church Village is a suburban community in Rhondda Cynon Taf, South Wales, known for its residential character and proximity to Pontypridd and Cardiff.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d621e3e08190b2d1d969ecaa380b completed April 20, 2026, 7:30 a.m.
Created at: April 10, 2026, noon