Triple

T4285998
Position Surface form Disambiguated ID Type / Status
Subject Kendal E97268 entity
Predicate twinnedWith P1072 FINISHED
Object Killarney E156995 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: Killarney | Statement: [Kendal, twinnedWith, Killarney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Killarney
Context triple: [Kendal, twinnedWith, Killarney]
  • A. Killarney chosen
    Killarney is a small Canadian community in Ontario known as a gateway to Georgian Bay and Killarney Provincial Park, popular for boating, hiking, and wilderness tourism.
  • B. Waterford
    Waterford is a small incorporated city located in Stanislaus County in California’s Central Valley.
  • C. Waterford
    Waterford is a historic port city in southeast Ireland, renowned as the country’s oldest city and for its traditional crystal glassmaking.
  • D. Waterford
    Waterford is a small town and village in eastern New York State, known as the eastern terminus of the Erie Canal and its historic canal locks.
  • E. Kinsale
    Kinsale is a historic coastal town in southern Ireland known for its picturesque harbor, colorful streets, gourmet food scene, and role in events such as the Battle of Kinsale.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3505d23d88190a638f2cc2acee9ee completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7c657b08190b96135c34622e559 completed March 14, 2026, 7:32 p.m.
Created at: March 12, 2026, 11:07 p.m.