Triple

T3997628
Position Surface form Disambiguated ID Type / Status
Subject Kidal Region E87135 entity
Predicate borderedBy P224 FINISHED
Object Gao Region E82615 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: Gao Region | Statement: [Kidal Region, borderedBy, Gao Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gao Region
Context triple: [Kidal Region, borderedBy, Gao Region]
  • A. Gao Region chosen
    Gao Region is a strategic area in northern Mali that has been a focal point of military operations and conflict, particularly during the French-led intervention against Islamist militants.
  • B. Huari Province
    Huari Province is an administrative division in the Ancash Region of central Peru, known for encompassing the important archaeological site of Chavín de Huántar.
  • C. Chaoshan region
    The Chaoshan region is an area in eastern Guangdong, China, known for its distinct Teochew culture, language, and cuisine.
  • D. Hopei–Chahar region
    The Hopei–Chahar region was a historically significant area in northern China encompassing parts of modern Hebei and Inner Mongolia that became a focal point of Japanese military and political control in the 1930s.
  • E. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa228d608190b936a86c98c92ef2 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c54f05c8190b18c2d4839a61b64 completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:34 p.m.