Triple

T3612649
Position Surface form Disambiguated ID Type / Status
Subject Marangu Route E76523 entity
Predicate isComparedWith P278 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: [Marangu Route, isComparedWith, Machame Route]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Machame Route
Context triple: [Marangu Route, isComparedWith, 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. Marangu Route
    Marangu Route is a popular and relatively easier trekking path up Mount Kilimanjaro, known for its hut accommodations and gradual slopes.
  • C. 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.
  • D. 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.
  • E. Lemosho Route
    Lemosho Route is a popular, scenic multi-day trekking path used by climbers to ascend Mount Kilimanjaro from its western side.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22e5b30819084184b730732c727 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43316224081909372f1007becc663 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:23 p.m.