Triple

T10691591
Position Surface form Disambiguated ID Type / Status
Subject Negros Trench E252021 entity
Predicate overridingPlate P10441 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: [Negros Trench, overridingPlate, Philippine Mobile Belt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippine Mobile Belt
Context triple: [Negros Trench, overridingPlate, 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. Noki
    Noki are a species of shell-wearing, sea snail-like inhabitants of Isle Delfino known for their peaceful, oceanic lifestyle in the Super Mario series.
  • D. Nokki
    Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
  • E. Nokki
    Nokki is likely a lesser-known entity, possibly a business, brand, or local initiative connected to the Lekki area of Lagos, Nigeria.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd3705788190bcbdef93b4c5f574 completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998cfeb748190bfff06534d83cf97 completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:11 p.m.