Triple

T17460653
Position Surface form Disambiguated ID Type / Status
Subject Heaven or Hell E425141 entity
Predicate hasTrack P3284 FINISHED
Object Cardigan 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: Cardigan | Statement: [Heaven or Hell, hasTrack, Cardigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cardigan
Context triple: [Heaven or Hell, hasTrack, Cardigan]
  • A. Cardigan
    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.
  • B. Cardigan chosen
    "Cardigan" is a folk-pop song by Taylor Swift from her 2020 album *Folklore*, noted for its introspective lyrics and atmospheric production.
  • C. Pembroke
    Pembroke is a suburban town in southeastern Massachusetts known for its residential character, ponds, and historic New England charm.
  • D. Pembroke
    Pembroke is a small city in southeastern Georgia that serves as the administrative and governmental center of Bryan County.
  • E. Pembroke
    Pembroke is a historic town in southwest Wales best known as the birthplace of King Henry VII of England and for its prominent medieval castle.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451a3031c8190ab1dd0d41b002dd2 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.