Triple

T18211110
Position Surface form Disambiguated ID Type / Status
Subject Finisterre Range E436032 entity
Predicate hasPeak P8205 FINISHED
Object Mount Sarawaket 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 Sarawaket | Statement: [Finisterre Range, hasPeak, Mount Sarawaket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Sarawaket
Context triple: [Finisterre Range, hasPeak, Mount Sarawaket]
  • A. Mount Sarawaket chosen
    Mount Sarawaket is a prominent mountain peak in Papua New Guinea, noted for its rugged terrain and significant elevation within the country’s northern highlands.
  • B. Mount Wanggameti
    Mount Wanggameti is the tallest mountain on the Indonesian island of Sumba, known for its forested slopes and biodiversity within protected conservation areas.
  • C. Mount Batu
    Mount Batu is a prominent high peak in Ethiopia’s Bale Mountains, known for its rugged terrain and alpine ecosystems.
  • D. Mount Natib
    Mount Natib is a prominent stratovolcano and one of the highest peaks in the Bataan Peninsula of the Philippines, known for its forested slopes and surrounding protected landscape.
  • E. Mount Welirang
    Mount Welirang is an active stratovolcano in East Java, Indonesia, known for its sulfur mining and frequent fumarolic activity.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e228a7fc81909cfcf11cf7ce1360 completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.