Triple

T14886940
Position Surface form Disambiguated ID Type / Status
Subject Larkana District E350149 entity
Predicate borderedBy P224 FINISHED
Object Dadu District E664680 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: Dadu District | Statement: [Larkana District, borderedBy, Dadu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dadu District
Context triple: [Larkana District, borderedBy, Dadu District]
  • A. Dadu District chosen
    Dadu District is an administrative district in the Sindh province of Pakistan, known for its historical archaeological sites and proximity to the Indus River.
  • 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. 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. 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.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5f5b1c88190815f3585770cb135 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8192548190ad268b5804c97060 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:56 a.m.