Triple

T19438878
Position Surface form Disambiguated ID Type / Status
Subject San Miguel, Manila E486296 entity
Predicate hasBarangay P29835 FINISHED
Object Barangay 736
Barangay 736 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
E1410667 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 736 | Statement: [San Miguel, Manila, hasBarangay, Barangay 736]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay 736
Context triple: [San Miguel, Manila, hasBarangay, Barangay 736]
  • A. Barangay 733
    Barangay 733 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
  • B. Barangay 732
    Barangay 732 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
  • C. Barangay 730
    Barangay 730 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
  • D. Barangay 735
    Barangay 735 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
  • E. Barangay 734
    Barangay 734 is a small 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 736
Triple: [San Miguel, Manila, hasBarangay, Barangay 736]
Generated description
Barangay 736 is a small local administrative 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 736
Target entity description: Barangay 736 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
  • A. Barangay 733
    Barangay 733 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
  • B. Barangay 732
    Barangay 732 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
  • C. Barangay 730
    Barangay 730 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
  • D. Barangay 735
    Barangay 735 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
  • E. Barangay 734
    Barangay 734 is a small 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_6a081f1f42bc8190b89152f422a1b0e0 completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a08209695e881908cb1afe6e17cd97d completed May 16, 2026, 7:45 a.m.
NED2 Entity disambiguation (via description) batch_6a08245621948190a7ae6f5e25b08a10 completed May 16, 2026, 8:01 a.m.
Created at: April 10, 2026, 1:38 p.m.