Triple

T19438792
Position Surface form Disambiguated ID Type / Status
Subject San Miguel, Manila E486296 entity
Predicate hasBarangay P29835 FINISHED
Object Barangay 650
Barangay 650 is a local administrative unit within the San Miguel district of Manila in the Philippines.
E1380081 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 650 | Statement: [San Miguel, Manila, hasBarangay, Barangay 650]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay 650
Context triple: [San Miguel, Manila, hasBarangay, Barangay 650]
  • A. Barangay 658
    Barangay 658 is a small administrative barangay located within the San Miguel district of Manila in the Philippines.
  • B. Barangay 639
    Barangay 639 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
  • C. Barangay 950
    Barangay 950 is a local administrative unit within the district of San Miguel in Manila, Philippines.
  • D. Barangay 640
    Barangay 640 is a local administrative unit within the district of San Miguel in Manila, Philippines.
  • E. Barangay 666
    Barangay 666 is a small urban administrative district located within the San Miguel area 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 650
Triple: [San Miguel, Manila, hasBarangay, Barangay 650]
Generated description
Barangay 650 is a 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 650
Target entity description: Barangay 650 is a local administrative unit within the San Miguel district of Manila in the Philippines.
  • A. Barangay 658
    Barangay 658 is a small administrative barangay located within the San Miguel district of Manila in the Philippines.
  • B. Barangay 639
    Barangay 639 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
  • C. Barangay 950
    Barangay 950 is a local administrative unit within the district of San Miguel in Manila, Philippines.
  • D. Barangay 640
    Barangay 640 is a local administrative unit within the district of San Miguel in Manila, Philippines.
  • E. Barangay 666
    Barangay 666 is a small urban administrative district located within the San Miguel area 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_6a07470db894819096438b9a1316068d completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a0747f6b1d48190a3e70576ddb4feb2 completed May 15, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_6a07492259488190a8c405598f9c8878 completed May 15, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:38 p.m.