Triple

T4606617
Position Surface form Disambiguated ID Type / Status
Subject Mount Apo E100451 entity
Predicate volcanicArcOrBelt P2408 FINISHED
Object Philippine Mobile Belt E43913 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: Philippine Mobile Belt | Statement: [Mount Apo, volcanicArcOrBelt, Philippine Mobile Belt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippine Mobile Belt
Context triple: [Mount Apo, volcanicArcOrBelt, Philippine Mobile Belt]
  • A. Philippine Mobile Belt chosen
    The Philippine Mobile Belt is a tectonically active region in the western Pacific where several microplates interact, producing frequent earthquakes and volcanism.
  • B. Banisilan
    Banisilan is a landlocked agricultural municipality in the province of North Cotabato on the island of Mindanao in the Philippines.
  • C. Nokki
    Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
  • D. Mindoro microplate
    The Mindoro microplate is a small tectonic block in the western Philippines whose interactions with surrounding plates significantly influence the region’s seismicity and geological evolution.
  • E. Sarangani
    Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd599c50d08190ab226cd0691e29f9 completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa725c048190af9eea074197fa32 completed March 21, 2026, 1:54 a.m.
Created at: March 20, 2026, 1:12 p.m.