Triple

T15925501
Position Surface form Disambiguated ID Type / Status
Subject Bourem E386195 entity
Predicate administrativeDivisionOf P747 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: [Bourem, administrativeDivisionOf, Gao Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gao Region
Context triple: [Bourem, administrativeDivisionOf, 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. Bié Province
    Bié Province is a central Angolan province known for its highland terrain, agricultural activity, and strategic location bordering several other provinces.
  • D. Sanma Province
    Sanma Province is an administrative region in northern Vanuatu that includes the country’s largest island, Espiritu Santo, and its surrounding islands.
  • E. Yaodu District
    Yaodu District is the central urban district and administrative heart of Linfen City in Shanxi Province, China.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15685b28c8190927b704fef14a159 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf11fd1481909f460cfa4485d3e3 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:52 a.m.