Triple

T8529114
Position Surface form Disambiguated ID Type / Status
Subject Rukwa Valley E201896 entity
Predicate borderedBy P224 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 Valley, borderedBy, Ufipa Plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ufipa Plateau
Context triple: [Rukwa Valley, borderedBy, 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. Bainsizza Plateau
    The Bainsizza Plateau is a karst plateau in present-day Slovenia that was a major World War I battleground on the Italian Front, particularly during the later Battles of the Isonzo.
  • D. 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.
  • E. 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.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe67409f08190b20d13d26e9a362c completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d5e5b58819095c1c915dfe27b52 completed April 2, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:17 p.m.