Triple

T9426534
Position Surface form Disambiguated ID Type / Status
Subject Folklore E227275 entity
Predicate leadSingle P15292 FINISHED
Object cardigan E139887 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: cardigan | Statement: [Folklore, leadSingle, cardigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: cardigan
Context triple: [Folklore, leadSingle, cardigan]
  • A. Scarf
    Scarf is a long piece of fabric worn around the neck, head, or shoulders for warmth, sun protection, cleanliness, fashion, or religious reasons.
  • B. Cardigan chosen
    Cardigan is a historic coastal town in west Wales known for its medieval castle, riverside setting on the Teifi, and role as a cultural and market center for the surrounding region.
  • C. Vest
    Vest is a surname most notably associated with Charles M. Vest, an American engineer and former president of the Massachusetts Institute of Technology.
  • D. Tweed
    Tweed is a state electoral district in New South Wales, Australia, encompassing the coastal region around Tweed Heads near the Queensland border.
  • E. Tweed
    Tweed is a surname of Scottish origin most commonly associated with the River Tweed region and borne by various notable individuals.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c908738819081df35c632f35f04 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107da6aa88190a015ee4a6eea2a4a completed April 4, 2026, 12:45 p.m.
Created at: March 30, 2026, 7:49 p.m.