Triple

T10483517
Position Surface form Disambiguated ID Type / Status
Subject Okiek people E247231 entity
Predicate region P40 FINISHED
Object Mau Forest E865582 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: Mau Forest | Statement: [Okiek people, region, Mau Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mau Forest
Context triple: [Okiek people, region, Mau Forest]
  • A. Mau Forest chosen
    Mau Forest is a vast montane forest complex in Kenya known for its critical role as a water catchment area and as a traditional homeland for indigenous communities.
  • B. Wehea–Kelay Forest
    Wehea–Kelay Forest is a biodiverse tropical rainforest area in East Kalimantan, Indonesian Borneo, recognized for its rich wildlife and conservation importance.
  • C. Karantere Forest
    Karantere Forest is a mountainous, densely wooded natural area in the Drama region of northeastern Greece, known for its rich biodiversity and pristine landscapes.
  • D. Ushu Forest
    Ushu Forest is a scenic alpine woodland near Kalam in Pakistan’s Swat Valley, known for its dense conifer trees, riverside landscapes, and popularity as a nature and picnic spot.
  • E. Berembun Forest Reserve
    Berembun Forest Reserve is a protected tropical rainforest area in Malaysia known for its rich biodiversity, hilly terrain, and role in conserving native flora and fauna.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509678ac88190984f18a2162e2dcf completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc7fc0cc8190922b7b783d37f542 completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:22 p.m.