Triple

T10611115
Position Surface form Disambiguated ID Type / Status
Subject Victorias E276008 entity
Predicate hasBarangay P29835 FINISHED
Object Barangay XXXV
Barangay XXXV is a local administrative village-level unit within the city of Victorias in the Philippines.
E910947 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 XXXV | Statement: [Victorias, hasBarangay, Barangay XXXV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay XXXV
Context triple: [Victorias, hasBarangay, Barangay XXXV]
  • A. Barangay XXXIII
    Barangay XXXIII is a local administrative village-level unit within the city of Victorias in the Philippines.
  • B. Barangay XXXI
    Barangay XXXI is a local administrative village-level unit within the city of Victorias in the Philippines.
  • C. Barangay XXV
    Barangay XXV is a local administrative village-level unit within the city of Victorias in the Philippines.
  • D. Barangay XXXIV
    Barangay XXXIV is a local administrative village-level unit within the city of Victorias in the Philippines.
  • E. Barangay XXIX
    Barangay XXIX 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 XXXV
Triple: [Victorias, hasBarangay, Barangay XXXV]
Generated description
Barangay XXXV 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 XXXV
Target entity description: Barangay XXXV is a local administrative village-level unit within the city of Victorias in the Philippines.
  • A. Barangay XXXIII
    Barangay XXXIII is a local administrative village-level unit within the city of Victorias in the Philippines.
  • B. Barangay XXXI
    Barangay XXXI is a local administrative village-level unit within the city of Victorias in the Philippines.
  • C. Barangay XXV
    Barangay XXV is a local administrative village-level unit within the city of Victorias in the Philippines.
  • D. Barangay XXXIV
    Barangay XXXIV is a local administrative village-level unit within the city of Victorias in the Philippines.
  • E. Barangay XXIX
    Barangay XXIX 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_69e49658b5a48190813dcf114d92be8e completed April 19, 2026, 8:46 a.m.
NEDg Description generation batch_69e49a97db808190aa22d6a103a13e58 completed April 19, 2026, 9:04 a.m.
NED2 Entity disambiguation (via description) batch_69e49d71e81c8190af73931ed30e04be completed April 19, 2026, 9:16 a.m.
Created at: April 8, 2026, 7:33 p.m.