Triple

T10611103
Position Surface form Disambiguated ID Type / Status
Subject Victorias E276008 entity
Predicate hasBarangay P29835 FINISHED
Object Barangay XXIII
Barangay XXIII is a local administrative village-level unit within the city of Victorias in the Philippines.
E896449 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 XXIII | Statement: [Victorias, hasBarangay, Barangay XXIII]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay XXIII
Context triple: [Victorias, hasBarangay, Barangay XXIII]
  • A. Barangay XXII
    Barangay XXII is a local administrative village-level unit within the city of Victorias in the Philippines.
  • B. Barangay XIX
    Barangay XIX is a local administrative village-level unit within the city of Victorias in the Philippines.
  • C. Barangay XIII
    Barangay XIII is one of the local administrative villages (barangays) that make up the city of Victorias in the Philippines.
  • D. Barangay XXI
    Barangay XXI is a local administrative village-level unit within the city of Victorias in the Philippines.
  • E. Barangay XVII
    Barangay XVII 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 XXIII
Triple: [Victorias, hasBarangay, Barangay XXIII]
Generated description
Barangay XXIII 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 XXIII
Target entity description: Barangay XXIII is a local administrative village-level unit within the city of Victorias in the Philippines.
  • A. Barangay XXII
    Barangay XXII is a local administrative village-level unit within the city of Victorias in the Philippines.
  • B. Barangay XIX
    Barangay XIX is a local administrative village-level unit within the city of Victorias in the Philippines.
  • C. Barangay XIII
    Barangay XIII is one of the local administrative villages (barangays) that make up the city of Victorias in the Philippines.
  • D. Barangay XXI
    Barangay XXI is a local administrative village-level unit within the city of Victorias in the Philippines.
  • E. Barangay XVII
    Barangay XVII 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_69e2d65fc0948190af4356fc9f5004bb completed April 18, 2026, 12:54 a.m.
NEDg Description generation batch_69e2ff1ddd2c8190b31f5007f7492a4e completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e3260494bc81909e3dd4829697fb72 completed April 18, 2026, 6:34 a.m.
Created at: April 8, 2026, 7:33 p.m.