Triple

T9866173
Position Surface form Disambiguated ID Type / Status
Subject Philippine Microplate E239837 entity
Predicate boundedBy P224 FINISHED
Object Caroline Plate E41166 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: Caroline Plate | Statement: [Philippine Microplate, boundedBy, Caroline Plate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caroline Plate
Context triple: [Philippine Microplate, boundedBy, Caroline Plate]
  • A. Caroline Plate chosen
    The Caroline Plate is a small tectonic plate in the western Pacific Ocean, located north of New Guinea and interacting with several surrounding plates in a complex boundary zone.
  • B. Middle Park Plate
    The Middle Park Plate is a historic British flat horse race for two-year-old thoroughbreds, traditionally run over six furlongs at Newmarket Racecourse.
  • C. Mantel
    Mantel is a surname most prominently associated with the acclaimed British novelist Hilary Mantel, known for her historical fiction.
  • D. Mantel
    Mantel is a small municipality in the Upper Palatinate region of Bavaria, Germany.
  • E. Chardonel
    Chardonel is a hybrid white wine grape variety known for its cold hardiness and Chardonnay-like character, widely grown in cool-climate American wine regions.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d091e48190b10463562d0dc461 completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e4544d008190a70ec0d490da8ef2 completed April 5, 2026, 4:25 a.m.
Created at: March 30, 2026, 8:36 p.m.