Triple

T13067969
Position Surface form Disambiguated ID Type / Status
Subject Ilocos Sur E329377 entity
Predicate hasMunicipality P847 FINISHED
Object Caoayan
Caoayan is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its fishing industry and traditional crafts.
 E1020775 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: Caoayan | Statement: [Ilocos Sur, hasMunicipality, Caoayan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Caoayan
Context triple: [Ilocos Sur, hasMunicipality, Caoayan]
  • A. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • B. Chang La
    Chang La is a high-altitude mountain pass in the Indian Himalayas, known as one of the world’s highest motorable roads and a key route toward the Pangong Lake region in Ladakh.
  • C. Yansan
    Yansan is a powerful orisha in Yoruba and Afro-Caribbean religions, associated with winds, storms, and the cemetery, often revered as a fierce warrior and guardian of the dead.
  • D. Daliang
    Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
  • E. Yaobang
    Yaobang is a Chinese given name most notably borne by Hu Yaobang, a reformist leader of the Chinese Communist Party in the 1980s.
  • 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: Caoayan
Triple: [Ilocos Sur, hasMunicipality, Caoayan]
Generated description
Caoayan is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its fishing industry and traditional crafts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Caoayan
Target entity description: Caoayan is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its fishing industry and traditional crafts.
  • A. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • B. Chang La
    Chang La is a high-altitude mountain pass in the Indian Himalayas, known as one of the world’s highest motorable roads and a key route toward the Pangong Lake region in Ladakh.
  • C. Yansan
    Yansan is a powerful orisha in Yoruba and Afro-Caribbean religions, associated with winds, storms, and the cemetery, often revered as a fierce warrior and guardian of the dead.
  • D. Daliang
    Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
  • E. Yaobang
    Yaobang is a Chinese given name most notably borne by Hu Yaobang, a reformist leader of the Chinese Communist Party in the 1980s.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ec8ba48190baf52c7823482680 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d603419c8190b8d1726365db59dc completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6d943a80c81909bc39b9a9ef303bd completed May 3, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69f6da1e56388190b536831b2c6d493f completed May 3, 2026, 5:16 a.m.
Created at: April 9, 2026, 9 p.m.