Triple

T13612383
Position Surface form Disambiguated ID Type / Status
Subject Ghorahi E325224 entity
Predicate administrativeCenterOf P383 FINISHED
Object Dang District E1035339 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: Dang District | Statement: [Ghorahi, administrativeCenterOf, Dang District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dang District
Context triple: [Ghorahi, administrativeCenterOf, Dang District]
  • A. Dang District chosen
    Dang District is an administrative district in Lumbini Province of southwestern Nepal, known for its fertile valleys, growing urban centers, and diverse ethnic communities.
  • B. Dang district
    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.
  • C. 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.
  • D. 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.
  • 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 (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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0abe1208190a1e0a32dc141d836 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac7a1ee88190951de590a4a07d6f completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 9:50 p.m.