Triple

T10611086
Position Surface form Disambiguated ID Type / Status
Subject Victorias E276008 entity
Predicate hasBarangay P29835 FINISHED
Object Barangay VII
Barangay VII is a local administrative district within the city of Victorias in the Philippines.
E876009 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: Barangay VII | Statement: [Victorias, hasBarangay, Barangay VII]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay VII
Context triple: [Victorias, hasBarangay, Barangay VII]
  • A. Barangay VI
    Barangay VI is one of the administrative barangays that make up the city of Victorias in Negros Occidental, Philippines.
  • B. Barangay XIII
    Barangay XIII is one of the local administrative villages (barangays) that make up the city of Victorias in the Philippines.
  • C. Barangay Matutinao
    Barangay Matutinao is a rural coastal village in Badian, Cebu, Philippines, best known as the gateway to the popular Kawasan Falls and canyoneering activities.
  • D. Barangay San Miguel
    Barangay San Miguel is a local administrative community within the city of Pasig in Metro Manila, Philippines.
  • E. Barangay Rosario
    Barangay Rosario is a residential and commercial barangay in the city of Pasig in Metro Manila, Philippines.
  • 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: Barangay VII
Triple: [Victorias, hasBarangay, Barangay VII]
Generated description
Barangay VII is a local administrative district within the city of Victorias in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Barangay VII
Target entity description: Barangay VII is a local administrative district within the city of Victorias in the Philippines.
  • A. Barangay VI
    Barangay VI is one of the administrative barangays that make up the city of Victorias in Negros Occidental, Philippines.
  • B. Barangay XIII
    Barangay XIII is one of the local administrative villages (barangays) that make up the city of Victorias in the Philippines.
  • C. Barangay Matutinao
    Barangay Matutinao is a rural coastal village in Badian, Cebu, Philippines, best known as the gateway to the popular Kawasan Falls and canyoneering activities.
  • D. Barangay San Miguel
    Barangay San Miguel is a local administrative community within the city of Pasig in Metro Manila, Philippines.
  • E. Barangay Rosario
    Barangay Rosario is a residential and commercial barangay in the city of Pasig in Metro Manila, Philippines.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df5a1450819082ad445712fb7868 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b716a088190b84982f1a8173e0a completed April 10, 2026, 9:28 p.m.
NEDg Description generation batch_69d96dee84f48190bf5b0cb1115a8bba completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d9708824208190acf75933962d690f completed April 10, 2026, 9:50 p.m.
Created at: April 8, 2026, 7:33 p.m.