Triple

T14925236
Position Surface form Disambiguated ID Type / Status
Subject Western Mongolia E371614 entity
Predicate highestPoint P210 FINISHED
Object Khüiten Peak E552459 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: Khüiten Peak | Statement: [Western Mongolia, highestPoint, Khüiten Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khüiten Peak
Context triple: [Western Mongolia, highestPoint, Khüiten Peak]
  • A. Khüiten Peak chosen
    Khüiten Peak is the tallest mountain in Mongolia, located in the Altai Range near the country's western border.
  • B. Krenitsyn Peak
    Krenitsyn Peak is a prominent stratovolcano forming much of Onekotan Island in Russia’s Kuril Islands chain.
  • C. Peleaga Peak
    Peleaga Peak is a prominent mountain summit in Romania’s Southern Carpathians, known for its alpine landscapes and popularity among hikers and mountaineers.
  • D. Kaleetan Peak
    Kaleetan Peak is a prominent mountain in Washington State’s Cascade Range, known for its rugged terrain and popular hiking and climbing routes.
  • E. Altyn Peak
    Altyn Peak is a prominent mountain in Glacier National Park in Montana, known for its rugged cliffs and scenic backdrop above the Many Glacier area.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded633da0c8190b39f606212e48e71 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d39a0908190a27f7bbaee7a04ef completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 2:35 a.m.