Triple

T15069091
Position Surface form Disambiguated ID Type / Status
Subject Uhuru Peak E379828 entity
Predicate isEndPointOf P43881 FINISHED
Object Machame Route E76943 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: Machame Route | Statement: [Uhuru Peak, isEndPointOf, Machame Route]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Machame Route
Context triple: [Uhuru Peak, isEndPointOf, Machame Route]
  • A. Machame Route chosen
    Machame Route is one of the most popular and scenic trekking paths used by climbers to ascend Mount Kilimanjaro in Tanzania.
  • B. Machame Gate
    Machame Gate is the main entrance and registration point to Kilimanjaro National Park for climbers beginning the popular Machame Route up Mount Kilimanjaro.
  • C. Marangu Route
    Marangu Route is a popular and relatively easier trekking path up Mount Kilimanjaro, known for its hut accommodations and gradual slopes.
  • D. Inca Trail
    The Inca Trail is a famous high-altitude trekking route in Peru that follows ancient Incan pathways through the Andes to reach the citadel of Machu Picchu.
  • E. Timpohon–Low’s Peak route
    The Timpohon–Low’s Peak route is the most commonly used and well-established trail for climbers ascending from the Timpohon Gate to the summit of Mount Kinabalu in Sabah, Malaysia.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedeebc7e48190a86b4f0afe8844bb completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5cd4b6c8190aa9ff73d5be31864 completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.