Triple

T19438913
Position Surface form Disambiguated ID Type / Status
Subject San Miguel, Manila E486296 entity
Predicate hasBarangay P29835 FINISHED
Object Barangay 771
Barangay 771 is a local administrative neighborhood unit within the San Miguel district of Manila in the Philippines.
E1450775 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 771 | Statement: [San Miguel, Manila, hasBarangay, Barangay 771]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay 771
Context triple: [San Miguel, Manila, hasBarangay, Barangay 771]
  • A. Barangay 770
    Barangay 770 is a local administrative neighborhood unit within the district of San Miguel in Manila, Philippines.
  • B. Barangay 677
    Barangay 677 is a local administrative unit within the district of San Miguel in the City of Manila, Philippines.
  • C. Barangay 671
    Barangay 671 is a local administrative unit within the San Miguel district of Manila in the Philippines.
  • D. Barangay 717
    Barangay 717 is a local administrative unit within the San Miguel district of Manila in the Philippines.
  • E. Barangay 701
    Barangay 701 is a local administrative unit within the district of San Miguel in Manila, 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 771
Triple: [San Miguel, Manila, hasBarangay, Barangay 771]
Generated description
Barangay 771 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 771
Target entity description: Barangay 771 is a local administrative neighborhood unit within the San Miguel district of Manila in the Philippines.
  • A. Barangay 770
    Barangay 770 is a local administrative neighborhood unit within the district of San Miguel in Manila, Philippines.
  • B. Barangay 677
    Barangay 677 is a local administrative unit within the district of San Miguel in the City of Manila, Philippines.
  • C. Barangay 671
    Barangay 671 is a local administrative unit within the San Miguel district of Manila in the Philippines.
  • D. Barangay 717
    Barangay 717 is a local administrative unit within the San Miguel district of Manila in the Philippines.
  • E. Barangay 701
    Barangay 701 is a local administrative unit within the district of San Miguel in Manila, 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_6a08f89f26f0819083c367fd8c24428c completed May 16, 2026, 11:07 p.m.
NEDg Description generation batch_6a08f9683d6881909ce4e3e7e93b6e94 completed May 16, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_6a08f9cd9ce0819085c29707c274547c completed May 16, 2026, 11:12 p.m.
Created at: April 10, 2026, 1:38 p.m.