Triple

T19438862
Position Surface form Disambiguated ID Type / Status
Subject San Miguel, Manila E486296 entity
Predicate hasBarangay P29835 FINISHED
Object Barangay 720
Barangay 720 is a small local administrative unit within the district of San Miguel in Manila, Philippines.
E1374844 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 720 | Statement: [San Miguel, Manila, hasBarangay, Barangay 720]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay 720
Context triple: [San Miguel, Manila, hasBarangay, Barangay 720]
  • A. Barangay XXVII
    Barangay XXVII 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 7 Poblacion
    Barangay 7 Poblacion is an urban barangay that forms part of the central town proper of Carmona in the province of Cavite, Philippines.
  • D. Barangay VII
    Barangay VII is a local administrative district within the city of Victorias in the Philippines.
  • E. Barangay XXIII
    Barangay XXIII 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 720
Triple: [San Miguel, Manila, hasBarangay, Barangay 720]
Generated description
Barangay 720 is a small local administrative unit within the district of San Miguel in Manila, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Barangay 720
Target entity description: Barangay 720 is a small local administrative unit within the district of San Miguel in Manila, Philippines.
  • A. Barangay XXVII
    Barangay XXVII 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 7 Poblacion
    Barangay 7 Poblacion is an urban barangay that forms part of the central town proper of Carmona in the province of Cavite, Philippines.
  • D. Barangay VII
    Barangay VII is a local administrative district within the city of Victorias in the Philippines.
  • E. Barangay XXIII
    Barangay XXIII 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633637ea48190bfa36b0b0a2762bc completed April 20, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733e006108190b3c69d3224bc3d25 completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a0734809dc48190b4378e168e0e35ec completed May 15, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_6a07355c10c881909f8a2a3a6b7e7dfe completed May 15, 2026, 3:01 p.m.
Created at: April 10, 2026, 1:38 p.m.