Triple

T13067965
Position Surface form Disambiguated ID Type / Status
Subject Ilocos Sur E329377 entity
Predicate hasMunicipality P847 FINISHED
Object Magsingal
Magsingal is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its agricultural lands and historic church.
E1020773 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: Magsingal | Statement: [Ilocos Sur, hasMunicipality, Magsingal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magsingal
Context triple: [Ilocos Sur, hasMunicipality, Magsingal]
  • A. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • B. Maganlal
    Maganlal is an Indian given name commonly used for men, particularly in Gujarati-speaking communities.
  • C. Guindulungan
    Guindulungan is a municipality in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao in the southern Philippines.
  • D. Pangarang
    Pangarang is an alternative name for the Bangerang, an Aboriginal Australian people traditionally associated with regions of northern Victoria and southern New South Wales.
  • E. Guanito
    Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
  • 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: Magsingal
Triple: [Ilocos Sur, hasMunicipality, Magsingal]
Generated description
Magsingal is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its agricultural lands and historic church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Magsingal
Target entity description: Magsingal is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its agricultural lands and historic church.
  • A. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • B. Maganlal
    Maganlal is an Indian given name commonly used for men, particularly in Gujarati-speaking communities.
  • C. Guindulungan
    Guindulungan is a municipality in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao in the southern Philippines.
  • D. Pangarang
    Pangarang is an alternative name for the Bangerang, an Aboriginal Australian people traditionally associated with regions of northern Victoria and southern New South Wales.
  • E. Guanito
    Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
  • 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.