Triple

T9673190
Position Surface form Disambiguated ID Type / Status
Subject Sellafield E234080 entity
Predicate locatedNear P294 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: [Sellafield, locatedNear, Whitehaven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitehaven
Context triple: [Sellafield, locatedNear, 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c6c05c481909885bfdb850e7527 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a2d030c8190ada52e855bc9afc8 completed April 4, 2026, 10:01 p.m.
Created at: March 30, 2026, 8:15 p.m.