Triple

T19438892
Position Surface form Disambiguated ID Type / Status
Subject San Miguel, Manila E486296 entity
Predicate hasBarangay P29835 FINISHED
Object Barangay 750
Barangay 750 is a local administrative unit within the San Miguel district of Manila in the Philippines.
E1426654 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 750 | Statement: [San Miguel, Manila, hasBarangay, Barangay 750]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay 750
Context triple: [San Miguel, Manila, hasBarangay, Barangay 750]
  • A. Barangay 725
    Barangay 725 is a local administrative unit within the San Miguel district of Manila in the Philippines.
  • B. Barangay 705
    Barangay 705 is a local administrative unit within the San Miguel district of Manila in the Philippines.
  • C. Barangay 701
    Barangay 701 is a local administrative unit within the district of San Miguel in Manila, Philippines.
  • D. Barangay 700
    Barangay 700 is a local administrative unit within the San Miguel district of Manila in the Philippines.
  • E. Barangay 702
    Barangay 702 is a small 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 750
Triple: [San Miguel, Manila, hasBarangay, Barangay 750]
Generated description
Barangay 750 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 750
Target entity description: Barangay 750 is a local administrative unit within the San Miguel district of Manila in the Philippines.
  • A. Barangay 725
    Barangay 725 is a local administrative unit within the San Miguel district of Manila in the Philippines.
  • B. Barangay 705
    Barangay 705 is a local administrative unit within the San Miguel district of Manila in the Philippines.
  • C. Barangay 701
    Barangay 701 is a local administrative unit within the district of San Miguel in Manila, Philippines.
  • D. Barangay 700
    Barangay 700 is a local administrative unit within the San Miguel district of Manila in the Philippines.
  • E. Barangay 702
    Barangay 702 is a small 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_6a087069ce008190b409e7ba9beba1dc completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a0870fd8b8c8190ac7ac5d2b0d9e8c4 completed May 16, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_6a087213a0408190a9b553323d7ced1f completed May 16, 2026, 1:33 p.m.
Created at: April 10, 2026, 1:38 p.m.