Triple

T12817208
Position Surface form Disambiguated ID Type / Status
Subject District Council of Robe E306432 entity
Predicate seat P75 FINISHED
Object Robe E305141 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: Robe | Statement: [District Council of Robe, seat, Robe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robe
Context triple: [District Council of Robe, seat, Robe]
  • A. Robe chosen
    Robe is a historic coastal town in South Australia known for its fishing industry, beaches, and heritage architecture.
  • B. Robe
    Robe is a town in southeastern Ethiopia that serves as an important regional center and gateway to the nearby Bale Mountains.
  • C. Rōben
    Rōben was an influential 8th-century Japanese Buddhist monk of the Kegon school, known for helping establish major temples such as Tōdai-ji and shaping early Nara Buddhism.
  • D. Roby
    Roby is a suburban village and residential area within the Metropolitan Borough of Knowsley in Merseyside, England.
  • E. Robaire
    Robaire is a fictional member of the boy band 4*Town from Pixar's animated film "Turning Red."
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9d00088190ac0f5d60e1de7a7c completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ecee33c8190a6bf045731bb9326 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.