Triple

T6375234
Position Surface form Disambiguated ID Type / Status
Subject Camiguin Island E143449 entity
Predicate hasMunicipality P847 FINISHED
Object Sagay
Sagay is a coastal municipality on Camiguin Island in the Philippines known for its rural communities and access to beaches and marine resources.
E595885 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: Sagay | Statement: [Camiguin Island, hasMunicipality, Sagay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sagay
Context triple: [Camiguin Island, hasMunicipality, Sagay]
  • A. Sagay
    Sagay is a coastal city in the province of Negros Occidental in the Philippines, known for its rich marine resources and protected seascape.
  • B. Guihulngan
    Guihulngan is a coastal city and commercial hub in the northern part of Negros Oriental in the Philippines.
  • C. Bayugan
    Bayugan is a component city in the Caraga region of Mindanao in the Philippines, known as an agricultural and commercial hub in its area.
  • D. Baliuag
    Baliuag is a first-class municipality in the province of Bulacan in the Philippines, known as a commercial and educational hub in Central Luzon.
  • E. Calapan
    Calapan is the capital city of Oriental Mindoro in the Philippines, serving as a key commercial and transportation hub in the Mimaropa region.
  • 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: Sagay
Triple: [Camiguin Island, hasMunicipality, Sagay]
Generated description
Sagay is a coastal municipality on Camiguin Island in the Philippines known for its rural communities and access to beaches and marine resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sagay
Target entity description: Sagay is a coastal municipality on Camiguin Island in the Philippines known for its rural communities and access to beaches and marine resources.
  • A. Sagay
    Sagay is a coastal city in the province of Negros Occidental in the Philippines, known for its rich marine resources and protected seascape.
  • B. Guihulngan
    Guihulngan is a coastal city and commercial hub in the northern part of Negros Oriental in the Philippines.
  • C. Bayugan
    Bayugan is a component city in the Caraga region of Mindanao in the Philippines, known as an agricultural and commercial hub in its area.
  • D. Baliuag
    Baliuag is a first-class municipality in the province of Bulacan in the Philippines, known as a commercial and educational hub in Central Luzon.
  • E. Calapan
    Calapan is the capital city of Oriental Mindoro in the Philippines, serving as a key commercial and transportation hub in the Mimaropa region.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0683ab8e08190ab3c9a5000b1d2be completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65383e7148190817bd25840212cc6 completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c6543c438881908734cceba77e779c completed March 27, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_69c654d0c2948190a4d586071133d759 completed March 27, 2026, 9:58 a.m.
Created at: March 22, 2026, 4:33 p.m.