Triple

T21620929
Position Surface form Disambiguated ID Type / Status
Subject Moate E533573 entity
Predicate hasPostalTown P2711 FINISHED
Object Moate 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: Moate | Statement: [Moate, hasPostalTown, Moate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moate
Context triple: [Moate, hasPostalTown, Moate]
  • A. Moate chosen
    Moate is a small town in central Ireland known for its location on the old Dublin–Galway road and its surrounding agricultural countryside.
  • B. Avonmore
    Avonmore is a small rural community located within Russell County in the Canadian province of Ontario.
  • C. Boyne
    Boyne is a surname of English and Irish origin borne by various notable individuals across fields such as academia, politics, and the arts.
  • D. Moyle
    Moyle is a district-level area in Northern Ireland known for its rugged coastline, including parts of the Antrim coast and nearby islands.
  • E. Brandywell
    Brandywell is a district in Derry, Northern Ireland, best known for its football stadium and close-knit residential community.
  • 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3baeeae48190b78583b3bec8ee33 completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:34 p.m.