Triple

T11688664
Position Surface form Disambiguated ID Type / Status
Subject White Mountains E277809 entity
Predicate hasHighestPeak P1674 FINISHED
Object Mount Sikaram E277808 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: Mount Sikaram | Statement: [White Mountains, hasHighestPeak, Mount Sikaram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Sikaram
Context triple: [White Mountains, hasHighestPeak, Mount Sikaram]
  • A. Mount Sikaram chosen
    Mount Sikaram is a prominent mountain peak on the Afghanistan–Pakistan border, known as the highest summit of the Safed Koh range.
  • B. Mount Potalaka
    Mount Potalaka is the mythical sacred mountain in Buddhist tradition believed to be the abode of the bodhisattva Avalokiteśvara.
  • C. Mount Adatara
    Mount Adatara is an active stratovolcano in Japan’s Tohoku region, known for its scenic alpine landscapes and popular hiking trails.
  • D. Mount Sataplia
    Mount Sataplia is a mountain in western Georgia known for its karst caves, dinosaur footprints, and surrounding nature reserve near the city of Kutaisi.
  • E. Mount Muna
    Mount Muna is the highest peak on Alor Island in Indonesia, known as a prominent landmark in the island’s rugged volcanic landscape.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a478f4c481908b2ba7b70972590d completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01943196c8190900b46da238e1f24 completed April 28, 2026, 2:19 a.m.
Created at: April 8, 2026, 9:40 p.m.