Triple

T11827839
Position Surface form Disambiguated ID Type / Status
Subject Rio Muni E281302 entity
Predicate includesProvince P11085 FINISHED
Object Wele-Nzas Province E304656 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: Wele-Nzas Province | Statement: [Rio Muni, includesProvince, Wele-Nzas Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wele-Nzas Province
Context triple: [Rio Muni, includesProvince, Wele-Nzas Province]
  • A. Wele-Nzas Province chosen
    Wele-Nzas Province is an inland province of Equatorial Guinea, known for its forested terrain and for containing the country’s administrative capital, Ciudad de la Paz.
  • B. Ngounié Province
    Ngounié Province is an inland administrative region in southwestern Gabon known for its forests, rivers, and ethnolinguistic diversity.
  • C. Woleu-Ntem Province
    Woleu-Ntem Province is the northernmost province of Gabon, known for its forests, diverse ethnic communities, and border with Cameroon and Equatorial Guinea.
  • D. 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.
  • E. Tshuapa Province
    Tshuapa Province is an administrative region in the central Democratic Republic of the Congo characterized by extensive rainforest and a network of rivers that support its largely rural population.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ec3a148190bb184ba0d481b16a completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1672e736481909ba5f867cb840039 completed April 29, 2026, 2:04 a.m.
Created at: April 8, 2026, 9:43 p.m.