Triple

T23361309
Position Surface form Disambiguated ID Type / Status
Subject Diamaré E593190 entity
Predicate hasBorderWith P224 FINISHED
Object Mayo-Sava Department NE NERFINISHED

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: Mayo-Sava Department | Statement: [Diamaré, hasBorderWith, Mayo-Sava Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayo-Sava Department
Context triple: [Diamaré, hasBorderWith, Mayo-Sava Department]
  • A. Mayo-Sava Department chosen
    Mayo-Sava Department is an administrative division in northern Cameroon known for its predominantly rural communities and location near the Nigerian border.
  • B. Ullum Department
    Ullum Department is an administrative division in San Juan Province, Argentina, known for its arid valleys, wine production, and outdoor tourism.
  • C. Zapala Department
    Zapala Department is an administrative division in central Neuquén Province, Argentina, known for its strategic location as a transport and commercial hub in the Patagonian region.
  • D. Bamboutos Department
    Bamboutos Department is an administrative division in western Cameroon known for its highland terrain and agricultural communities.
  • E. Zonda Department
    Zonda Department is an administrative division in the province of San Juan, Argentina, known for its arid valleys, wine production, and proximity to the Andean foothills.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0a8669c819098b88ae6712e3f88 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:30 p.m.