Triple

T10611101
Position Surface form Disambiguated ID Type / Status
Subject Victorias E276008 entity
Predicate hasBarangay P29835 FINISHED
Object Barangay XII-A
Barangay XII-A is a local administrative village-level unit within the city of Victorias in the Philippines.
 E893072 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 XII-A | Statement: [Victorias, hasBarangay, Barangay XII-A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barangay XII-A
Context triple: [Victorias, hasBarangay, Barangay XII-A]
  • A. Barangay XII
    Barangay XII is a local administrative village-level unit within the city of Victorias in the Philippines.
  • B. Barangay XIII-A
    Barangay XIII-A is a local administrative village-level unit within the city of Victorias in the Philippines.
  • C. Barangay XXII
    Barangay XXII is a local administrative village-level unit within the city of Victorias in the Philippines.
  • D. Barangay XI
    Barangay XI is a local administrative district 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 XII-A
Triple: [Victorias, hasBarangay, Barangay XII-A]
Generated description
Barangay XII-A 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 XII-A
Target entity description: Barangay XII-A is a local administrative village-level unit within the city of Victorias in the Philippines.
  • A. Barangay XII
    Barangay XII is a local administrative village-level unit within the city of Victorias in the Philippines.
  • B. Barangay XIII-A
    Barangay XIII-A is a local administrative village-level unit within the city of Victorias in the Philippines.
  • C. Barangay XXII
    Barangay XXII is a local administrative village-level unit within the city of Victorias in the Philippines.
  • D. Barangay XI
    Barangay XI is a local administrative district 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_69e215e3c3c88190833c1f56288629a2 completed April 17, 2026, 11:13 a.m.
NEDg Description generation batch_69e21d860d288190855ffbe60df50df9 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21f09be508190a7c497a7680cb59e completed April 17, 2026, 11:52 a.m.
Created at: April 8, 2026, 7:33 p.m.