Triple

T13087955
Position Surface form Disambiguated ID Type / Status
Subject Region III E310385 entity
Predicate containsVolcano P6356 FINISHED
Object Mount Pinatubo E101545 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 Pinatubo | Statement: [Region III, containsVolcano, Mount Pinatubo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Pinatubo
Context triple: [Region III, containsVolcano, Mount Pinatubo]
  • A. Mount Pinatubo chosen
    Mount Pinatubo is an active stratovolcano in the Philippines best known for its cataclysmic 1991 eruption, one of the largest of the 20th century.
  • B. Kanlaon Volcano
    Kanlaon Volcano is an active stratovolcano and one of the most prominent volcanic peaks in the central Philippines, located on Negros Island.
  • C. Taal Volcano
    Taal Volcano is an active and historically explosive volcano in the Philippines, famous for its picturesque crater lake setting on the island of Luzon.
  • D. Mayon Volcano
    Mayon Volcano is an active stratovolcano in the Philippines famed for its near-perfect conical shape and frequent eruptions.
  • E. Bulusan Volcano
    Bulusan Volcano is an active stratovolcano in Sorsogon province on the island of Luzon in the Philippines, known for its frequent phreatic eruptions and associated hazards.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981378dd08190b4f00e4e5df0e480 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d614704481908758cf8691a941ea completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:02 p.m.