Triple

T19439041
Position Surface form Disambiguated ID Type / Status
Subject San Miguel, Manila E486296 entity
Predicate hasBarangay P29835 FINISHED
Object Barangay 899
Barangay 899 is a local administrative neighborhood unit within the district of San Miguel in Manila, Philippines.
E1395141 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 899 | Statement: [San Miguel, Manila, hasBarangay, Barangay 899]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay 899
Context triple: [San Miguel, Manila, hasBarangay, Barangay 899]
  • A. Barangay 890
    Barangay 890 is a local administrative neighborhood unit within the San Miguel district of Manila in the Philippines.
  • B. Barangay 896
    Barangay 896 is a local administrative neighborhood unit within the San Miguel district of Manila in the Philippines.
  • C. Barangay 898
    Barangay 898 is a local administrative neighborhood unit within the San Miguel district of Manila in the Philippines.
  • D. Barangay 895
    Barangay 895 is a local administrative unit within the San Miguel district of Manila in the Philippines.
  • E. Barangay 897
    Barangay 897 is a local administrative neighborhood 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 899
Triple: [San Miguel, Manila, hasBarangay, Barangay 899]
Generated description
Barangay 899 is a local administrative neighborhood unit within the district of San Miguel in Manila, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Barangay 899
Target entity description: Barangay 899 is a local administrative neighborhood unit within the district of San Miguel in Manila, Philippines.
  • A. Barangay 890
    Barangay 890 is a local administrative neighborhood unit within the San Miguel district of Manila in the Philippines.
  • B. Barangay 896
    Barangay 896 is a local administrative neighborhood unit within the San Miguel district of Manila in the Philippines.
  • C. Barangay 898
    Barangay 898 is a local administrative neighborhood unit within the San Miguel district of Manila in the Philippines.
  • D. Barangay 895
    Barangay 895 is a local administrative unit within the San Miguel district of Manila in the Philippines.
  • E. Barangay 897
    Barangay 897 is a local administrative neighborhood 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_6a07c4e296e0819094b49185e64e5da0 completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c63f0c1081908e0d9b12c5247299 completed May 16, 2026, 1:19 a.m.
NED2 Entity disambiguation (via description) batch_6a07c6b768cc819097b07fcaaa800d6d completed May 16, 2026, 1:21 a.m.
Created at: April 10, 2026, 1:38 p.m.