Triple

T7953768
Position Surface form Disambiguated ID Type / Status
Subject Kabul region E184677 entity
Predicate borderedBy P224 FINISHED
Object Kapisa Province E705653 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: Kapisa Province | Statement: [Kabul region, borderedBy, Kapisa Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kapisa Province
Context triple: [Kabul region, borderedBy, Kapisa Province]
  • A. Kapisa Province chosen
    Kapisa Province is a small, strategically located province in northeastern Afghanistan known for its mountainous terrain and proximity to Kabul.
  • B. Ichilo Province
    Ichilo Province is an administrative subdivision in the northern part of Bolivia’s Santa Cruz Department, known for its tropical lowlands and agricultural activities.
  • C. Serua Province
    Serua Province is an administrative region on the island of Viti Levu in Fiji, known for its coastal villages, traditional chiefly systems, and mix of rural landscapes.
  • D. Chota Province
    Chota Province is an administrative division in northern Peru known for its Andean highland landscapes, agriculture, and traditional cultural festivities.
  • E. M'Sila Province
    M'Sila Province is an inland administrative region of northern Algeria known for its semi-arid high plains and agricultural activities.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5f74308190aa63a22c3d5feacc completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccec8cfa80819082bc79645f33e18f completed April 1, 2026, 9:59 a.m.
Created at: March 30, 2026, 5:10 p.m.