Triple

T612138
Position Surface form Disambiguated ID Type / Status
Subject Mount Kilimanjaro E12121 entity
Predicate isHighestPointOf P210 FINISHED
Object Kilimanjaro Region E76522 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: Kilimanjaro Region | Statement: [Mount Kilimanjaro, isHighestPointOf, Kilimanjaro Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kilimanjaro Region
Context triple: [Mount Kilimanjaro, isHighestPointOf, Kilimanjaro Region]
  • A. Kilimanjaro Region chosen
    Kilimanjaro Region is an administrative area in northeastern Tanzania best known for encompassing Africa’s highest peak, Mount Kilimanjaro, and serving as a major hub for tourism and agriculture.
  • B. Tabora Region
    Tabora Region is an inland administrative region in western Tanzania known historically as a key hub for trade and rail transport.
  • C. Kigoma Region
    Kigoma Region is a western Tanzanian administrative region along Lake Tanganyika, known for its biodiversity and as a center for primate research.
  • D. Katavi Region
    Katavi Region is a sparsely populated administrative region in western Tanzania known for its vast wilderness areas and the wildlife-rich Katavi National Park.
  • E. Western Zone of Tanzania
    The Western Zone of Tanzania is an administrative area in western Tanzania that includes regions such as Kigoma along the shores of Lake Tanganyika.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49e07739481909930a6577c081b9e completed March 1, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5554937a081909967f5298dbe1082 completed March 2, 2026, 9:15 a.m.
Created at: March 1, 2026, 7:35 p.m.