Triple

T10611092
Position Surface form Disambiguated ID Type / Status
Subject Victorias E276008 entity
Predicate hasBarangay P29835 FINISHED
Object Barangay III
Barangay III is a local administrative district within the city of Victorias in the Philippines.
E881395 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 III | Statement: [Victorias, hasBarangay, Barangay III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay III
Context triple: [Victorias, hasBarangay, Barangay III]
  • A. Barangay II
    Barangay II is a local administrative district within the city of Victorias in the Philippines.
  • B. Barangay VI
    Barangay VI is one of the administrative barangays that make up the city of Victorias in Negros Occidental, Philippines.
  • C. Barangay VII
    Barangay VII 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 I
    Barangay I is a local administrative district 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 III
Triple: [Victorias, hasBarangay, Barangay III]
Generated description
Barangay III 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 III
Target entity description: Barangay III is a local administrative district within the city of Victorias in the Philippines.
  • A. Barangay II
    Barangay II is a local administrative district within the city of Victorias in the Philippines.
  • B. Barangay VI
    Barangay VI is one of the administrative barangays that make up the city of Victorias in Negros Occidental, Philippines.
  • C. Barangay VII
    Barangay VII 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 I
    Barangay I is a local administrative district 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_69dbacd1f88081908e65e9092acc2a56 completed April 12, 2026, 2:31 p.m.
NEDg Description generation batch_69dbaeb211088190a9118c71918584e5 completed April 12, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69dbaf7c999c819097a8cdf5bd82f648 completed April 12, 2026, 2:43 p.m.
Created at: April 8, 2026, 7:33 p.m.