Triple

T10611093
Position Surface form Disambiguated ID Type / Status
Subject Victorias E276008 entity
Predicate hasBarangay P29835 FINISHED
Object Barangay IV
Barangay IV is one of the administrative barangays that make up the city of Victorias in Negros Occidental, Philippines.
 E881820 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 IV | Statement: [Victorias, hasBarangay, Barangay IV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barangay IV
Context triple: [Victorias, hasBarangay, Barangay IV]
  • A. Barangay III
    Barangay III is a local administrative district within the city of Victorias in the Philippines.
  • B. Barangay II
    Barangay II is a local administrative district within the city of Victorias in the Philippines.
  • C. Barangay VI
    Barangay VI is one of the administrative barangays that make up the city of Victorias in Negros Occidental, Philippines.
  • D. Barangay VII
    Barangay VII is a local administrative district within the city of Victorias in the Philippines.
  • E. Barangay VIII
    Barangay VIII is a local administrative village-level unit within the city of Victorias 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 IV
Triple: [Victorias, hasBarangay, Barangay IV]
Generated description
Barangay IV is one of the administrative barangays that make up the city of Victorias in Negros Occidental, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barangay IV
Target entity description: Barangay IV is one of the administrative barangays that make up the city of Victorias in Negros Occidental, Philippines.
  • A. Barangay III
    Barangay III is a local administrative district within the city of Victorias in the Philippines.
  • B. Barangay II
    Barangay II is a local administrative district within the city of Victorias in the Philippines.
  • C. Barangay VI
    Barangay VI is one of the administrative barangays that make up the city of Victorias in Negros Occidental, Philippines.
  • D. Barangay VII
    Barangay VII is a local administrative district within the city of Victorias in the Philippines.
  • E. Barangay VIII
    Barangay VIII is a local administrative village-level unit within the city of Victorias 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_69dbb6e6b0b081909c89d0e116cde87f completed April 12, 2026, 3:14 p.m.
NEDg Description generation batch_69dbbbe3d9dc819088f85d41ef66ab29 completed April 12, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69dbc58a5ef481908e67fff6686fb506 completed April 12, 2026, 4:17 p.m.
Created at: April 8, 2026, 7:33 p.m.