Triple

T22934810
Position Surface form Disambiguated ID Type / Status
Subject Banaue E569551 entity
Predicate nearbyMunicipality P4647 FINISHED
Object Mayoyao
Mayoyao is a rural municipality in Ifugao province in the Philippines, known for its mountainous terrain, rice terraces, and indigenous Ifugao culture.
E1562417 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: Mayoyao | Statement: [Banaue, nearbyMunicipality, Mayoyao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayoyao
Context triple: [Banaue, nearbyMunicipality, Mayoyao]
  • A. Consuelo Kanaga
    Consuelo Kanaga was an American photographer best known for her socially conscious portraits and powerful depictions of African American life in the early to mid-20th century.
  • B. Yaya Alafia
    Yaya Alafia is an American actress and activist known for her roles in independent films and socially conscious projects.
  • C. Rina Lazo
    Rina Lazo was a Guatemalan-Mexican muralist and painter associated with the Mexican muralism movement and known for her socially engaged, large-scale works.
  • D. Dupax Isinay
    Dupax Isinay is a regional dialect of the Isinay language traditionally spoken in the Dupax area of Nueva Vizcaya in the northern Philippines.
  • E. Maira Suro
    Maira Suro is a television producer best known for her executive production work on the science fiction series "The 4400."
  • 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: Mayoyao
Triple: [Banaue, nearbyMunicipality, Mayoyao]
Generated description
Mayoyao is a rural municipality in Ifugao province in the Philippines, known for its mountainous terrain, rice terraces, and indigenous Ifugao culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mayoyao
Target entity description: Mayoyao is a rural municipality in Ifugao province in the Philippines, known for its mountainous terrain, rice terraces, and indigenous Ifugao culture.
  • A. Consuelo Kanaga
    Consuelo Kanaga was an American photographer best known for her socially conscious portraits and powerful depictions of African American life in the early to mid-20th century.
  • B. Yaya Alafia
    Yaya Alafia is an American actress and activist known for her roles in independent films and socially conscious projects.
  • C. Rina Lazo
    Rina Lazo was a Guatemalan-Mexican muralist and painter associated with the Mexican muralism movement and known for her socially engaged, large-scale works.
  • D. Dupax Isinay
    Dupax Isinay is a regional dialect of the Isinay language traditionally spoken in the Dupax area of Nueva Vizcaya in the northern Philippines.
  • E. Maira Suro
    Maira Suro is a television producer best known for her executive production work on the science fiction series "The 4400."
  • 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18134484c8190b7311606c17d058d completed April 29, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bc24ea8bc8190bb7cb6e9475d6641 completed May 19, 2026, 1:52 a.m.
NEDg Description generation batch_6a0bc3dea31c8190ab517e43c9061eec completed May 19, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc46fd3d0819094a532a8d6a0b9b2 completed May 19, 2026, 2:01 a.m.
Created at: April 17, 2026, 3:44 p.m.