Triple

T12338340
Position Surface form Disambiguated ID Type / Status
Subject Nha Be District E294151 entity
Predicate borders P224 FINISHED
Object District 7 E256862 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 7 | Statement: [Nha Be District, borders, District 7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: District 7
Context triple: [Nha Be District, borders, District 7]
  • A. District 7
    District 7 is a regional division of the California Department of Transportation responsible for planning, constructing, and maintaining the state highway system in the Los Angeles and Ventura County area.
  • B. District 7 chosen
    District 7 is an urban district in southern Ho Chi Minh City, Vietnam, known for its modern planned neighborhoods and the upscale Phu My Hung area.
  • C. District 71
    District 71 is a public elementary school district serving the Niles, Illinois community.
  • D. District 8
    District 8 is a regional division of the California Department of Transportation responsible for planning, constructing, and maintaining the state highway system in its assigned area of Southern California.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f678698819091462b44ff3435f6 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa7e33c819084e5673a5fb8cac7 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.