Triple

T8112845
Position Surface form Disambiguated ID Type / Status
Subject Rukwa Region E189396 entity
Predicate hasNaturalFeature P1094 FINISHED
Object Ufipa Plateau E179332 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: Ufipa Plateau | Statement: [Rukwa Region, hasNaturalFeature, Ufipa Plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ufipa Plateau
Context triple: [Rukwa Region, hasNaturalFeature, Ufipa Plateau]
  • A. Ufipa Plateau chosen
    The Ufipa Plateau is a highland region in southwestern Tanzania known as the traditional homeland of the Fipa people.
  • B. Nkambe Plateau
    Nkambe Plateau is a highland area in northwestern Cameroon known for its elevated terrain, cooler climate, and predominantly rural, agricultural communities.
  • C. Sanetti Plateau
    Sanetti Plateau is a high-altitude Afro-alpine plateau in Ethiopia’s Bale Mountains, known for its unique biodiversity and dramatic volcanic landscapes.
  • D. Dana Plateau
    Dana Plateau is a high, windswept alpine tableland in Yosemite National Park known for its expansive views, rugged terrain, and striking glacially carved landscape.
  • E. Kaas Plateau
    Kaas Plateau is a UNESCO World Natural Heritage Site in Maharashtra, India, renowned for its seasonal carpet of wildflowers and unique biodiversity.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb432d7dfc8190b9c980f32c7b4623 completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9433a5848190aac09a2589061b53 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:32 p.m.