Triple

T22976530
Position Surface form Disambiguated ID Type / Status
Subject Panem E571335 entity
Predicate consistsOf P1393 FINISHED
Object District 3 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 3 | Statement: [Panem, consistsOf, District 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: District 3
Context triple: [Panem, consistsOf, District 3]
  • A. District 3 chosen
    District 3 is the technology-focused district in the Hunger Games universe, known for producing electronics experts and skilled inventors like Beetee.
  • B. District 3
    District 3 is a central urban district of Ho Chi Minh City, Vietnam, known for its historic architecture, tree-lined streets, and mix of residential, commercial, and cultural landmarks.
  • C. District 3
    District 3 is a regional division of the California Department of Transportation (Caltrans) responsible for planning, constructing, and maintaining state highways and transportation infrastructure in its designated area.
  • D. District 3
    District 3 is one of the electoral districts represented on the Maricopa County Board of Supervisors in Arizona.
  • E. District 4
    District 4 is one of the supervisorial districts within Maricopa County, Arizona, represented on the county’s Board of Supervisors.
  • 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_69f182369b548190a6630655a6e0bb39 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.