Triple

T10611087
Position Surface form Disambiguated ID Type / Status
Subject Victorias E276008 entity
Predicate hasBarangay P29835 FINISHED
Object Barangay VIII
Barangay VIII is a local administrative village-level unit within the city of Victorias in the Philippines.
 E877003 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 VIII | Statement: [Victorias, hasBarangay, Barangay VIII]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barangay VIII
Context triple: [Victorias, hasBarangay, Barangay VIII]
  • A. Barangay VI
    Barangay VI is one of the administrative barangays that make up the city of Victorias in Negros Occidental, Philippines.
  • B. Barangay VII
    Barangay VII is a local administrative district within the city of Victorias in the Philippines.
  • C. Barangay IX
    Barangay IX is a local administrative district within the city of Victorias in the Philippines.
  • D. Barangay XIII
    Barangay XIII is one of the local administrative villages (barangays) that make up the city of Victorias in the Philippines.
  • E. Barangay San Vicente
    Barangay San Vicente is a local administrative village-level community within the city of Bislig in the 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 VIII
Triple: [Victorias, hasBarangay, Barangay VIII]
Generated description
Barangay VIII is a local administrative village-level unit within the city of Victorias in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barangay VIII
Target entity description: Barangay VIII is a local administrative village-level unit 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 VII
    Barangay VII is a local administrative district within the city of Victorias in the Philippines.
  • C. Barangay IX
    Barangay IX is a local administrative district within the city of Victorias in the Philippines.
  • D. Barangay XIII
    Barangay XIII is one of the local administrative villages (barangays) that make up the city of Victorias in the Philippines.
  • E. Barangay San Vicente
    Barangay San Vicente is a local administrative village-level community within the city of Bislig in the 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_69d97a2c8a048190b9a62f1c68ac217a completed April 10, 2026, 10:31 p.m.
NEDg Description generation batch_69d97cc07100819088683a0d79b2baa0 completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e015b088190a97822675eecaa5a completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 7:33 p.m.