Triple

T22914701
Position Surface form Disambiguated ID Type / Status
Subject Motueka River E568701 entity
Predicate hasSourceRegion P410 FINISHED
Object Wangapeka area NE NERFINISHED

How this triple was built (3 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: Wangapeka area | Statement: [Motueka River, hasSourceRegion, Wangapeka area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wangapeka area
Context triple: [Motueka River, hasSourceRegion, Wangapeka area]
  • A. Selakano area
    The Selakano area is a mountainous forested region in central Crete, Greece, known for its extensive pine forest, rich biodiversity, and traditional pastoral landscapes.
  • B. Milingimbi area
    The Milingimbi area is a region in Arnhem Land in Australia’s Northern Territory, known as a significant homeland for Yolŋu peoples and a center of rich Indigenous cultural and linguistic traditions.
  • C. Nembe area
    Nembe area is a coastal region in Bayelsa State, Nigeria, known for its riverine communities, traditional Nembe (Ijaw) culture, and role in the Niger Delta’s oil-producing zone.
  • D. Wakaura area
    Wakaura area is a scenic coastal district in Wakayama City known for its historic shrines, traditional landscapes, and views of Wakanoura Bay that have inspired Japanese art and poetry.
  • E. Wau-Bulolo area
    The Wau-Bulolo area is a gold-mining and forestry region in Morobe Province, Papua New Guinea, centered on the towns of Wau and Bulolo in the mountainous interior.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wangapeka area
Target entity description: The Wangapeka area is a remote, forested region in New Zealand’s Tasman District, known for its river valleys, tramping tracks, and role as a headwaters catchment for nearby rivers.
  • A. Selakano area
    The Selakano area is a mountainous forested region in central Crete, Greece, known for its extensive pine forest, rich biodiversity, and traditional pastoral landscapes.
  • B. Milingimbi area
    The Milingimbi area is a region in Arnhem Land in Australia’s Northern Territory, known as a significant homeland for Yolŋu peoples and a center of rich Indigenous cultural and linguistic traditions.
  • C. Nembe area
    Nembe area is a coastal region in Bayelsa State, Nigeria, known for its riverine communities, traditional Nembe (Ijaw) culture, and role in the Niger Delta’s oil-producing zone.
  • D. Wakaura area
    Wakaura area is a scenic coastal district in Wakayama City known for its historic shrines, traditional landscapes, and views of Wakanoura Bay that have inspired Japanese art and poetry.
  • E. Wau-Bulolo area
    The Wau-Bulolo area is a gold-mining and forestry region in Morobe Province, Papua New Guinea, centered on the towns of Wau and Bulolo in the mountainous interior.
  • F. None of above. chosen

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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18078077881908b8124cc22110c6e completed April 29, 2026, 3:52 a.m.
Created at: April 17, 2026, 3:42 p.m.