Triple

T16563960
Position Surface form Disambiguated ID Type / Status
Subject Sorsogon E402408 entity
Predicate hasMunicipality P847 FINISHED
Object Matnog
Matnog is a coastal municipality in the province of Sorsogon in the Philippines, known as a major ferry gateway between Luzon and the Visayas.
E1220584 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: Matnog | Statement: [Sorsogon, hasMunicipality, Matnog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matnog
Context triple: [Sorsogon, hasMunicipality, Matnog]
  • A. Manglicmot
    Manglicmot is a rural barangay (village-level administrative division) located in the municipality of San Felipe in the province of Zambales, Philippines.
  • B. Martung
    Martung is a town and administrative settlement located within Shangla District in Pakistan's Khyber Pakhtunkhwa province.
  • C. Maaninka
    Maaninka is a former rural municipality in eastern Finland, known for its lakes and agricultural landscape, that is now part of the city of Kuopio in the Northern Savonia region.
  • D. Mosnang
    Mosnang is a Swiss municipality in the canton of St. Gallen, known for its rural character and location in the Toggenburg region.
  • E. Mosogar
    Mosogar is a prominent Urhobo community in Delta State, Nigeria, known as one of the major clans of the Urhobo ethnic group.
  • 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: Matnog
Triple: [Sorsogon, hasMunicipality, Matnog]
Generated description
Matnog is a coastal municipality in the province of Sorsogon in the Philippines, known as a major ferry gateway between Luzon and the Visayas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matnog
Target entity description: Matnog is a coastal municipality in the province of Sorsogon in the Philippines, known as a major ferry gateway between Luzon and the Visayas.
  • A. Manglicmot
    Manglicmot is a rural barangay (village-level administrative division) located in the municipality of San Felipe in the province of Zambales, Philippines.
  • B. Martung
    Martung is a town and administrative settlement located within Shangla District in Pakistan's Khyber Pakhtunkhwa province.
  • C. Maaninka
    Maaninka is a former rural municipality in eastern Finland, known for its lakes and agricultural landscape, that is now part of the city of Kuopio in the Northern Savonia region.
  • D. Mosnang
    Mosnang is a Swiss municipality in the canton of St. Gallen, known for its rural character and location in the Toggenburg region.
  • E. Mosogar
    Mosogar is a prominent Urhobo community in Delta State, Nigeria, known as one of the major clans of the Urhobo ethnic group.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3577043048190bc9bcf55069b769f completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006edfe7f08190857fc6f66f3be9a0 completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006f5fdea0819093ee1b522438cdc1 completed May 10, 2026, 11:43 a.m.
NED2 Entity disambiguation (via description) batch_6a006fd9da688190abde982bbee5ba73 completed May 10, 2026, 11:45 a.m.
Created at: April 10, 2026, 5:15 a.m.