Triple

T2120683
Position Surface form Disambiguated ID Type / Status
Subject Philippine Mobile Belt E43913 entity
Predicate includesVolcano P6356 FINISHED
Object Taal Volcano E99105 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: Taal Volcano | Statement: [Philippine Mobile Belt, includesVolcano, Taal Volcano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taal Volcano
Context triple: [Philippine Mobile Belt, includesVolcano, Taal Volcano]
  • A. Taal Volcano chosen
    Taal Volcano is an active and historically explosive volcano in the Philippines, famous for its picturesque crater lake setting on the island of Luzon.
  • B. Taal Lake
    Taal Lake is a large volcanic lake in the Philippines known for containing Taal Volcano, one of the country’s most active and picturesque volcanoes.
  • C. Mayon Volcano
    Mayon Volcano is an active stratovolcano in the Philippines famed for its near-perfect conical shape and frequent eruptions.
  • D. Mount Pinatubo
    Mount Pinatubo is an active stratovolcano in the Philippines best known for its cataclysmic 1991 eruption, one of the largest of the 20th century.
  • E. Maderas Volcano
    Maderas Volcano is a dormant stratovolcano on Ometepe Island in southwestern Nicaragua, known for its cloud forest, crater lake, and rich biodiversity.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbdc3a12081908e95ae870207367f completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58cd22c8819096dfd06d16703bf8 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.