Triple

T2597793
Position Surface form Disambiguated ID Type / Status
Subject North Cotabato E58271 entity
Predicate hasMunicipality P847 FINISHED
Object Libungan
Libungan is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and rural communities.
E281936 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: Libungan | Statement: [North Cotabato, hasMunicipality, Libungan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Libungan
Context triple: [North Cotabato, hasMunicipality, Libungan]
  • A. Warji
    Warji is a Chadic language spoken primarily in northern Nigeria by the Warji people.
  • B. Jandali
    Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
  • C. Malakula
    Malakula is one of the largest and most culturally diverse islands of Vanuatu, known for its many distinct languages and traditional customs.
  • D. Lakon
    Lakon is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
  • E. Dulag
    Dulag is a coastal municipality on the island of Leyte in the Philippines, historically notable as one of the main landing sites for Allied forces during the Battle of Leyte Gulf in World War II.
  • 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: Libungan
Triple: [North Cotabato, hasMunicipality, Libungan]
Generated description
Libungan is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and rural communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Libungan
Target entity description: Libungan is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and rural communities.
  • A. Warji
    Warji is a Chadic language spoken primarily in northern Nigeria by the Warji people.
  • B. Jandali
    Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
  • C. Malakula
    Malakula is one of the largest and most culturally diverse islands of Vanuatu, known for its many distinct languages and traditional customs.
  • D. Lakon
    Lakon is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
  • E. Dulag
    Dulag is a coastal municipality on the island of Leyte in the Philippines, historically notable as one of the main landing sites for Allied forces during the Battle of Leyte Gulf in World War II.
  • 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.