Triple

T12170265
Position Surface form Disambiguated ID Type / Status
Subject D3 E289941 entity
Predicate shortName P43 FINISHED
Object District 3 E42051 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: District 3 | Statement: [D3, shortName, District 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: District 3
Context triple: [D3, shortName, District 3]
  • A. District 3 chosen
    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.
  • B. 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.
  • C. District 3
    District 3 is one of the electoral districts represented on the Maricopa County Board of Supervisors in Arizona.
  • D. District 4
    District 4 is one of the supervisorial districts within Maricopa County, Arizona, represented on the county’s Board of Supervisors.
  • E. 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.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d9659481909c75b12aa836bbf3 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a45568819090662cd3547c9253 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.