Triple

T2597794
Position Surface form Disambiguated ID Type / Status
Subject North Cotabato E58271 entity
Predicate hasMunicipality P847 FINISHED
Object Magpet
Magpet is a rural municipality in the province of North Cotabato in the Philippines, known for its mountainous terrain and agricultural communities.
E281937 NE FINISHED

How this triple was built (4 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: [North Cotabato, hasMunicipality, Magpet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magpet
Context triple: [North Cotabato, hasMunicipality, Magpet]
  • A. Petkum
    Petkum is a district of the city of Emden in Lower Saxony, Germany, situated along the River Ems.
  • B. Miga
    Miga is one of the official mascots of the 2010 Winter Olympics in Vancouver, depicted as a playful sea bear inspired by orcas and First Nations legends.
  • C. Michu
    Michu is a retired Spanish attacking midfielder and forward best known for his prolific 2012–13 season with Swansea City in the English Premier League.
  • D. Chappy
    Chappy is the informal nickname for Chappaquiddick Island, a small island off the eastern end of Martha’s Vineyard in Massachusetts.
  • E. Petey
    Petey is a diminutive nickname commonly used for people named Peter.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Magpet
Triple: [North Cotabato, hasMunicipality, Magpet]
Generated description
Magpet is a rural municipality in the province of North Cotabato in the Philippines, known for its mountainous terrain and agricultural communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Magpet
Target entity description: Magpet is a rural municipality in the province of North Cotabato in the Philippines, known for its mountainous terrain and agricultural communities.
  • A. Petkum
    Petkum is a district of the city of Emden in Lower Saxony, Germany, situated along the River Ems.
  • B. Miga
    Miga is one of the official mascots of the 2010 Winter Olympics in Vancouver, depicted as a playful sea bear inspired by orcas and First Nations legends.
  • C. Michu
    Michu is a retired Spanish attacking midfielder and forward best known for his prolific 2012–13 season with Swansea City in the English Premier League.
  • D. Chappy
    Chappy is the informal nickname for Chappaquiddick Island, a small island off the eastern end of Martha’s Vineyard in Massachusetts.
  • E. Petey
    Petey is a diminutive nickname commonly used for people named Peter.
  • F. None of above. chosen

Provenance (5 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd4548b1081909d28f88ea5e14202 completed March 7, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83cc45f8819099d581725a53e527 completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af84a08ffc8190b113d07f3d322d0c completed March 10, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69af85a052448190898ee1a2f8368122 completed March 10, 2026, 2:44 a.m.
Created at: March 6, 2026, 9:49 p.m.