Triple

T7051212
Position Surface form Disambiguated ID Type / Status
Subject Minahasa Peninsula E163768 entity
Predicate hasVolcano P6356 FINISHED
Object Mount Mahawu E310530 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 Mahawu | Statement: [Minahasa Peninsula, hasVolcano, Mount Mahawu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Mahawu
Context triple: [Minahasa Peninsula, hasVolcano, Mount Mahawu]
  • A. Mount Mahawu chosen
    Mount Mahawu is a stratovolcano in North Sulawesi, Indonesia, known for its accessible crater, geothermal features, and panoramic views of the surrounding highlands.
  • B. Mount Mtatsminda
    Mount Mtatsminda is a prominent mountain overlooking Tbilisi, Georgia, known for its panoramic views, historic sites, and cultural landmarks.
  • C. Mount Longonot
    Mount Longonot is a stratovolcano in Kenya’s Great Rift Valley, known for its prominent crater and popular hiking trails offering panoramic views of the surrounding landscape.
  • D. Mount Nyangani
    Mount Nyangani is a prominent mountain in eastern Zimbabwe known for its scenic highland landscapes and status as a popular hiking destination.
  • E. Sajama
    Sajama is the highest mountain in Bolivia, an extinct stratovolcano located in the Andes near the Chilean border.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e2500570819087200013d859cfe6 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c78891bc5081909db384a35b45df4a completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:37 p.m.