Triple

T18695050
Position Surface form Disambiguated ID Type / Status
Subject Aroumd E457094 entity
Predicate near P350 FINISHED
Object Mount Toubkal NE NERFINISHED

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: Mount Toubkal | Statement: [Aroumd, near, Mount Toubkal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Toubkal
Context triple: [Aroumd, near, Mount Toubkal]
  • A. Toubkal chosen
    Toubkal is a prominent mountain peak in southwestern Morocco, renowned as the highest summit in North Africa and a popular destination for trekking and mountaineering.
  • B. Mont Aigoual
    Mont Aigoual is a prominent peak in the Cévennes range of southern France, known for its panoramic views and historic meteorological observatory.
  • C. Mont Bessou
    Mont Bessou is a mountain in central France’s Massif Central range, noted as the highest summit in the Corrèze department and offering panoramic views from its observation tower.
  • D. Mont Panié
    Mont Panié is the highest mountain in New Caledonia, known for its rich biodiversity and dense rainforest ecosystems.
  • E. Pic Saint-Loup peak
    Pic Saint-Loup peak is a prominent limestone mountain in southern France, renowned for its dramatic profile and as a landmark of the Languedoc wine region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e66a188190801fd95f9be26042 completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.