Triple

T19439058
Position Surface form Disambiguated ID Type / Status
Subject San Miguel, Manila E486296 entity
Predicate hasBarangay P29835 FINISHED
Object Barangay 916
Barangay 916 is a local administrative neighborhood unit within the San Miguel district of Manila in the Philippines.
E1475524 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 916 | Statement: [San Miguel, Manila, hasBarangay, Barangay 916]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay 916
Context triple: [San Miguel, Manila, hasBarangay, Barangay 916]
  • A. Barangay 912
    Barangay 912 is a local administrative neighborhood unit within the San Miguel district of Manila in the Philippines.
  • B. Barangay 716
    Barangay 716 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
  • C. Barangay 913
    Barangay 913 is a local administrative unit within the district of San Miguel in Manila, Philippines.
  • D. Barangay 816
    Barangay 816 is a local administrative unit within the district of San Miguel in Manila, Philippines.
  • E. Barangay 719
    Barangay 719 is a local administrative unit within the San Miguel district of Manila 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 916
Triple: [San Miguel, Manila, hasBarangay, Barangay 916]
Generated description
Barangay 916 is a local administrative neighborhood unit within the San Miguel district of Manila in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Barangay 916
Target entity description: Barangay 916 is a local administrative neighborhood unit within the San Miguel district of Manila in the Philippines.
  • A. Barangay 912
    Barangay 912 is a local administrative neighborhood unit within the San Miguel district of Manila in the Philippines.
  • B. Barangay 716
    Barangay 716 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
  • C. Barangay 913
    Barangay 913 is a local administrative unit within the district of San Miguel in Manila, Philippines.
  • D. Barangay 816
    Barangay 816 is a local administrative unit within the district of San Miguel in Manila, Philippines.
  • E. Barangay 719
    Barangay 719 is a local administrative unit within the San Miguel district of Manila 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_6a0997e52054819097d655afc80e0f25 completed May 17, 2026, 10:26 a.m.
NEDg Description generation batch_6a09985dda0c81908af1da35cf21a49a completed May 17, 2026, 10:28 a.m.
NED2 Entity disambiguation (via description) batch_6a0998daab50819084301af9f93bc9dc completed May 17, 2026, 10:30 a.m.
Created at: April 10, 2026, 1:38 p.m.