Triple

T3696473
Position Surface form Disambiguated ID Type / Status
Subject Umbwe Route E78470 entity
Predicate comparedTo P278 FINISHED
Object Lemosho Route E77251 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: Lemosho Route | Statement: [Umbwe Route, comparedTo, Lemosho Route]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lemosho Route
Context triple: [Umbwe Route, comparedTo, Lemosho Route]
  • A. Lemosho Route chosen
    Lemosho Route is a popular, scenic multi-day trekking path used by climbers to ascend Mount Kilimanjaro from its western side.
  • B. Rongai Route
    Rongai Route is one of the main trekking paths used to ascend Mount Kilimanjaro, known for its quieter northern approach and relatively gentle, scenic climb.
  • C. Umbwe Route
    Umbwe Route is a steep, short, and less-traveled ascent path on Mount Kilimanjaro known for its direct approach and challenging terrain.
  • D. Marangu Route
    Marangu Route is a popular and relatively easier trekking path up Mount Kilimanjaro, known for its hut accommodations and gradual slopes.
  • E. Machame Route
    Machame Route is one of the most popular and scenic trekking paths used by climbers to ascend Mount Kilimanjaro in Tanzania.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc50f9ad88190a926042fa73d65dc completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb02366881909d984b54bfc571e9 completed March 14, 2026, 6:06 a.m.
Created at: March 8, 2026, 3:26 p.m.