Triple

T10411109
Position Surface form Disambiguated ID Type / Status
Subject Talyllyn E245390 entity
Predicate buildLocation P14455 FINISHED
Object Whitehaven E99810 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: Whitehaven | Statement: [Talyllyn, buildLocation, Whitehaven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitehaven
Context triple: [Talyllyn, buildLocation, Whitehaven]
  • A. Whitehaven
    Whitehaven is a residential neighborhood in South Memphis, Tennessee, best known as the location of Elvis Presley’s Graceland estate.
  • B. Whitehaven chosen
    Whitehaven is a coastal town and port on the Irish Sea in northwest England, historically known for its Georgian architecture and maritime and mining heritage.
  • C. Haughton
    Haughton is the surname of the late American singer and actress Aaliyah, associated with her influential legacy in R&B and pop music.
  • D. Hotten
    Hotten is an English surname most notably associated with Victorian-era publisher and bibliographer John Camden Hotten.
  • E. Torresdale
    Torresdale is a residential neighborhood in the far northeastern section of Philadelphia, Pennsylvania, known for its proximity to the Delaware River and suburban character.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9fc72d081908d81c71133973daf completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbfae96c8190ac496e9a1158afe4 completed April 9, 2026, 7:20 p.m.
Created at: April 6, 2026, 12:09 p.m.