Triple

T3827814
Position Surface form Disambiguated ID Type / Status
Subject Farley E88733 entity
Predicate hasVariantSpelling P457 FINISHED
Object Fairlie E287657 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: Fairlie | Statement: [Farley, hasVariantSpelling, Fairlie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fairlie
Context triple: [Farley, hasVariantSpelling, Fairlie]
  • A. Fairlie chosen
    Fairlie is a small rural service town in New Zealand’s South Island, known as a gateway to the Mackenzie District and nearby alpine and lake attractions.
  • B. Fairlea
    Fairlea is a small unincorporated community in Greenbrier County, West Virginia, known for hosting the annual West Virginia State Fair.
  • C. Kinnaird
    Kinnaird is a historic Scottish estate and locality traditionally associated with the Carnegie family and the title of Lord Carnegie of Kinnaird.
  • D. Cleghorn
    Cleghorn is a residential neighborhood within the city of Fitchburg, Massachusetts.
  • E. Sholto
    Sholto is a masculine given name of Scottish origin, historically associated with figures such as military leaders and nobles.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb66c0bc819084d9a9fe32e8433a completed March 9, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb51e6248190b242f9e498a320d3 completed March 14, 2026, 6:08 a.m.
Created at: March 9, 2026, 3:17 p.m.