Triple

T2329529
Position Surface form Disambiguated ID Type / Status
Subject Philippine Basin E48368 entity
Predicate subductsBeneath P7362 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: [Philippine Basin, subductsBeneath, Philippine Mobile Belt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippine Mobile Belt
Context triple: [Philippine Basin, subductsBeneath, 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. Nokki
    Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
  • C. 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.
  • D. Kassaman
    Kassaman is the national anthem of Algeria, known for its revolutionary lyrics that honor the struggle for independence from French colonial rule.
  • E. Calabarzon
    Calabarzon is a populous and industrialized region in the southern part of Luzon in the Philippines, known for its mix of urban centers, agricultural areas, and manufacturing hubs.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc667235c819086140af9db961203 completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8974ab8c81908ec2bddcc882cf42 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:50 p.m.