Triple

T21790669
Position Surface form Disambiguated ID Type / Status
Subject Myrtle Point E537960 entity
Predicate parentPeak P1319 FINISHED
Object Mount Le Conte 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 Le Conte | Statement: [Myrtle Point, parentPeak, Mount Le Conte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Le Conte
Context triple: [Myrtle Point, parentPeak, Mount Le Conte]
  • A. Mount Le Conte chosen
    Mount Le Conte is one of the highest and most prominent peaks in the Great Smoky Mountains, known for its extensive hiking trails and panoramic summit views.
  • B. Mont Charvin
    Mont Charvin is a prominent mountain in the French Alps known for its striking limestone summit and panoramic views over the Aravis range and surrounding valleys.
  • C. Morne Coco
    Morne Coco is a residential neighborhood in the Diego Martin region of Trinidad and Tobago, known for its hillside setting overlooking the western part of the island.
  • D. Monte Aiona
    Monte Aiona is a prominent mountain in the Ligurian Apennines of northwestern Italy, known for its rugged terrain and scenic natural landscapes.
  • E. Mont Bénara
    Mont Bénara is the highest peak on the French Indian Ocean island of Mayotte, known for its lush tropical forests and panoramic views over the surrounding lagoon.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0621f95cc8190a3e8619fbf29555a completed April 28, 2026, 7:30 a.m.
Created at: April 16, 2026, 6:52 p.m.