Triple

T13731913
Position Surface form Disambiguated ID Type / Status
Subject Holy Ascension Church, Settle E329823 entity
Predicate locatedIn P40 FINISHED
Object Settle E65136 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: Settle | Statement: [Holy Ascension Church, Settle, locatedIn, Settle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Settle
Context triple: [Holy Ascension Church, Settle, locatedIn, Settle]
  • A. Settle chosen
    Settle is a small market town in North Yorkshire, England, known as a gateway to the Yorkshire Dales and the scenic Settle–Carlisle railway.
  • B. The Settlement
    The Settlement is the main inhabited village of Edinburgh of the Seven Seas, the remote capital of Tristan da Cunha in the South Atlantic Ocean.
  • C. Settle for More
    Settle for More is a memoir by journalist Megyn Kelly that chronicles her personal life, legal and media career, and experiences in the spotlight.
  • D. Ready to Settle
    "Ready to Settle" is a song by the American indie rock band High Fidelity, known for its melodic style and emotionally reflective lyrics.
  • E. The Sett
    "The Sett" is a thriller novel by British explorer and author Sir Ranulph Fiennes, centered on revenge, international crime, and high-stakes adventure.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f92b588190be97ec4564dddd59 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5b543308190a86e715106641484 completed May 8, 2026, 12:23 p.m.
Created at: April 9, 2026, 9:55 p.m.