Triple

T14090181
Position Surface form Disambiguated ID Type / Status
Subject Cotabato E339106 entity
Predicate hasMunicipality P847 FINISHED
Object Magpet E281937 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: Magpet | Statement: [Cotabato, hasMunicipality, Magpet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magpet
Context triple: [Cotabato, hasMunicipality, Magpet]
  • A. Magpet chosen
    Magpet is a rural municipality in the province of North Cotabato in the Philippines, known for its mountainous terrain and agricultural communities.
  • B. Mogpog
    Mogpog is a coastal municipality in the island province of Marinduque in the Philippines, known as the birthplace of the Moriones Festival.
  • C. Moppet
    Moppet is one of the mischievous kitten siblings in Beatrix Potter’s children’s story "The Tale of Tom Kitten."
  • D. Michi
    Michi is a diminutive or affectionate nickname commonly used for the given name Michiel.
  • E. Petkum
    Petkum is a district of the city of Emden in Lower Saxony, Germany, situated along the River Ems.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee3213c8190af2853a2a5b302a2 completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a7aab88190949cf1fd8e11b050 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.