Triple

T17241619
Position Surface form Disambiguated ID Type / Status
Subject Mount Singgalang E418510 entity
Predicate hasLocalName P6353 FINISHED
Object Gunung Singgalang E418510 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: Gunung Singgalang | Statement: [Mount Singgalang, hasLocalName, Gunung Singgalang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gunung Singgalang
Context triple: [Mount Singgalang, hasLocalName, Gunung Singgalang]
  • A. Gunung Tahan
    Gunung Tahan is the highest peak in Peninsular Malaysia, located within Taman Negara National Park and known for its challenging jungle trekking routes.
  • B. Mount Singgalang chosen
    Mount Singgalang is a dormant stratovolcano in West Sumatra, Indonesia, known for its twin-peaked profile and lush, cloud-forested slopes.
  • C. Gunung Guntur
    Gunung Guntur is an active stratovolcano located in West Java, Indonesia, known for its steep slopes and history of explosive eruptions.
  • D. Mount Talang
    Mount Talang is an active stratovolcano in Indonesia known for its frequent eruptions and location near the city of Padang in West Sumatra.
  • E. Mount Cikuray
    Mount Cikuray is a prominent stratovolcano in West Java, Indonesia, known for its challenging hiking trails and panoramic summit views over the surrounding Garut region.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e203ec88190a21f38cbb18a14fa completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c3abb1c819083e802ac79ff4c34 completed May 11, 2026, 7:58 a.m.
Created at: April 10, 2026, 5:39 a.m.