Triple

T19207885
Position Surface form Disambiguated ID Type / Status
Subject Sully electoral ward E480282 entity
Predicate hasSettlementServed P2741 FINISHED
Object Sully 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: Sully | Statement: [Sully electoral ward, hasSettlementServed, Sully]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sully
Context triple: [Sully electoral ward, hasSettlementServed, Sully]
  • A. Sully
    "Sully" is a biographical drama film starring Tom Hanks as pilot Chesley "Sully" Sullenberger, depicting the emergency landing of US Airways Flight 1549 on the Hudson River.
  • B. Sully chosen
    Sully is a coastal village and community in the Vale of Glamorgan, Wales, known for its seaside location and residential character.
  • C. Sully
    Sully is the given name of François Sully Prudhomme, a French individual identifiable by this personal name.
  • D. Sully
    Sully is a masculine given name, often used as a diminutive or nickname for names like Sullivan.
  • E. City of Sully
    City of Sully is a small incorporated community located in Jasper County, Iowa, in the United States.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f99e9f8c8190b73db55f3f8bbf20 completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 1:20 p.m.