Triple

T22977478
Position Surface form Disambiguated ID Type / Status
Subject Finnick Odair E571365 entity
Predicate fromDistrict P62974 FINISHED
Object District 4 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: District 4 | Statement: [Finnick Odair, fromDistrict, District 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: District 4
Context triple: [Finnick Odair, fromDistrict, District 4]
  • A. District 4
    District 4 is the California Department of Transportation (Caltrans) regional district responsible for planning, constructing, and maintaining the state highway system in the San Francisco Bay Area.
  • B. District 4
    District 4 is one of the supervisorial districts within Maricopa County, Arizona, represented on the county’s Board of Supervisors.
  • C. District 4 chosen
    District 4 is the fishing-centered coastal district in the fictional nation of Panem from Suzanne Collins' "The Hunger Games" series, known for producing skilled seafarers and strong tributes.
  • D. District 3
    District 3 is one of the electoral districts represented on the Maricopa County Board of Supervisors in Arizona.
  • E. District 3
    District 3 is the technology-focused district in the Hunger Games universe, known for producing electronics experts and skilled inventors like Beetee.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18292f3788190ab4e9d559e0070c8 completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:48 p.m.