Triple

T23253596
Position Surface form Disambiguated ID Type / Status
Subject Mandara Mountains E581803 entity
Predicate near P350 FINISHED
Object Mokolo 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: Mokolo | Statement: [Mandara Mountains, near, Mokolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mokolo
Context triple: [Mandara Mountains, near, Mokolo]
  • A. Mokolo chosen
    Mokolo is a town in northern Cameroon that serves as an important local administrative and market center near the Nigerian border.
  • B. Mangole
    Mangole is one of the principal islands of Indonesia’s Sula Islands archipelago in North Maluku Province.
  • C. Mwotlap
    Mwotlap is an Oceanic Austronesian language spoken on Mota Lava and nearby islands in northern Vanuatu.
  • D. Sindagua
    Sindagua is an extinct Barbacoan language once spoken by indigenous communities in what is now southwestern Colombia.
  • E. Mvila
    Mvila is an administrative department in Cameroon's South Region, known for its local governance role and regional cultural diversity.
  • 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f9d904819097315c9bf031f667 completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:11 p.m.