Triple

T11506850
Position Surface form Disambiguated ID Type / Status
Subject Battagram District E272806 entity
Predicate hasBorderWith P224 FINISHED
Object Torghar District E274661 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: Torghar District | Statement: [Battagram District, hasBorderWith, Torghar District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torghar District
Context triple: [Battagram District, hasBorderWith, Torghar District]
  • A. Torghar District chosen
    Torghar District is a small, mountainous administrative district in Pakistan’s Khyber Pakhtunkhwa province, known for its tribal communities and rugged terrain.
  • B. Rusafa District
    Rusafa District is a central administrative area of Baghdad, Iraq, known for encompassing key cultural and historical landmarks, including major monuments and public institutions.
  • C. Gorgor District
    Gorgor District is an administrative subdivision in the highland Cajatambo Province of Peru, known for its rural Andean communities and mountainous terrain.
  • D. Khadir District
    Khadir District is an administrative district located within Daykundi Province in central Afghanistan.
  • E. Maktaaral District
    Maktaaral District is an administrative district in southern Kazakhstan, located in the agricultural region historically associated with the South Kazakhstan Region.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db43a648190be859bec2fe9f43b completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f12fcc1f2481908423370681dc869e completed April 28, 2026, 10:08 p.m.
Created at: April 8, 2026, 9:36 p.m.