Triple

T13073457
Position Surface form Disambiguated ID Type / Status
Subject Capul E329510 entity
Predicate hasBarangay P29835 FINISHED
Object Oson
Oson is a barangay (village-level administrative division) of the municipality of Capul in the province of Northern Samar, Philippines.
 E1021045 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: Oson | Statement: [Capul, hasBarangay, Oson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oson
Context triple: [Capul, hasBarangay, Oson]
  • A. Osma
    Osma is a historic town in Spain known for its medieval architecture and religious heritage centered around its cathedral.
  • B. Otse
    Otse is a village located in Botswana’s South-East District, known for its traditional culture and proximity to the capital, Gaborone.
  • C. Seppa
    Seppa is a town in the East Kameng district of Arunachal Pradesh in northeastern India, serving as an administrative and cultural center in the Himalayan foothills.
  • D. Osapa
    Osapa is a residential and commercial neighborhood located within the Eti-Osa local government area of Lagos, Nigeria.
  • E. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara 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: Oson
Triple: [Capul, hasBarangay, Oson]
Generated description
Oson is a barangay (village-level administrative division) of the municipality of Capul in the province of Northern Samar, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oson
Target entity description: Oson is a barangay (village-level administrative division) of the municipality of Capul in the province of Northern Samar, Philippines.
  • A. Osma
    Osma is a historic town in Spain known for its medieval architecture and religious heritage centered around its cathedral.
  • B. Otse
    Otse is a village located in Botswana’s South-East District, known for its traditional culture and proximity to the capital, Gaborone.
  • C. Seppa
    Seppa is a town in the East Kameng district of Arunachal Pradesh in northeastern India, serving as an administrative and cultural center in the Himalayan foothills.
  • D. Osapa
    Osapa is a residential and commercial neighborhood located within the Eti-Osa local government area of Lagos, Nigeria.
  • E. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d981160e388190bab942a2ded2903e completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d606ac6481908d18a288d5eed472 completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6dae595908190b27980e48514cda5 completed May 3, 2026, 5:19 a.m.
NED2 Entity disambiguation (via description) batch_69f6db8f68a4819091d8e67d9c8eec81 completed May 3, 2026, 5:22 a.m.
Created at: April 9, 2026, 9 p.m.