Triple

T21024205
Position Surface form Disambiguated ID Type / Status
Subject Anavil Brahmin E517892 entity
Predicate locatedIn P40 FINISHED
Object Dang district 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: Dang district | Statement: [Anavil Brahmin, locatedIn, Dang district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dang district
Context triple: [Anavil Brahmin, locatedIn, Dang district]
  • A. Dang district chosen
    Dang district is a forested and hilly administrative district in the southern part of Gujarat, India, known for its significant tribal population and rich natural landscapes.
  • B. Dang District
    Dang District is an administrative district in Lumbini Province of southwestern Nepal, known for its fertile valleys, growing urban centers, and diverse ethnic communities.
  • C. Dadu District
    Dadu District is an administrative district in the Sindh province of Pakistan, known for its historical archaeological sites and proximity to the Indus River.
  • D. Dara District
    Dara District is an administrative district located within Afghanistan’s Panjshir Province, known for its mountainous terrain and strategic position in the Panjshir Valley.
  • E. Huli District
    Huli District is an urban district of Xiamen in Fujian Province, China, known for its role as a commercial and transportation hub including part of Xiamen Island and the city's airport.
  • 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5f5bcc8190ab5fcc467703f0ef completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:55 p.m.