Triple

T10611106
Position Surface form Disambiguated ID Type / Status
Subject Victorias E276008 entity
Predicate hasBarangay P29835 FINISHED
Object Barangay XXVI
Barangay XXVI is a local administrative village-level unit within the city of Victorias in the Philippines.
E901807 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 XXVI | Statement: [Victorias, hasBarangay, Barangay XXVI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay XXVI
Context triple: [Victorias, hasBarangay, Barangay XXVI]
  • A. Barangay XXIV
    Barangay XXIV is a local administrative village-level unit within the city of Victorias in the Philippines.
  • B. Barangay XXII
    Barangay XXII is a local administrative village-level unit within the city of Victorias in the Philippines.
  • C. Barangay XXIII
    Barangay XXIII is a local administrative village-level unit within the city of Victorias in the Philippines.
  • D. Barangay XXV
    Barangay XXV is a local administrative village-level unit within the city of Victorias in the Philippines.
  • E. Barangay XIX
    Barangay XIX 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 XXVI
Triple: [Victorias, hasBarangay, Barangay XXVI]
Generated description
Barangay XXVI 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 XXVI
Target entity description: Barangay XXVI is a local administrative village-level unit within the city of Victorias in the Philippines.
  • A. Barangay XXIV
    Barangay XXIV is a local administrative village-level unit within the city of Victorias in the Philippines.
  • B. Barangay XXII
    Barangay XXII is a local administrative village-level unit within the city of Victorias in the Philippines.
  • C. Barangay XXIII
    Barangay XXIII is a local administrative village-level unit within the city of Victorias in the Philippines.
  • D. Barangay XXV
    Barangay XXV is a local administrative village-level unit within the city of Victorias in the Philippines.
  • E. Barangay XIX
    Barangay XIX 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_69e3a8e98cac8190873af1a2cdb5c5a9 completed April 18, 2026, 3:53 p.m.
NEDg Description generation batch_69e3abe492388190a2f5752f6bad1220 completed April 18, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69e3b1efe4a88190884eb5186954cf39 completed April 18, 2026, 4:31 p.m.
Created at: April 8, 2026, 7:33 p.m.