Triple

T4334969
Position Surface form Disambiguated ID Type / Status
Subject Pasig E97441 entity
Predicate hasDistrict P459 FINISHED
Object Barangay Sta. Rosa
Barangay Sta. Rosa is a local administrative barangay within the highly urbanized city of Pasig in Metro Manila, Philippines.
E453631 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 Sta. Rosa | Statement: [Pasig, hasDistrict, Barangay Sta. Rosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay Sta. Rosa
Context triple: [Pasig, hasDistrict, Barangay Sta. Rosa]
  • A. Barangay Rosario
    Barangay Rosario is a residential and commercial barangay in the city of Pasig in Metro Manila, Philippines.
  • B. Barangay Sto. Tomas
    Barangay Sto. Tomas is a local administrative barangay within the highly urbanized city of Pasig in Metro Manila, Philippines.
  • C. Barangay Sta. Cruz
    Barangay Sta. Cruz is a residential and commercial barangay in the city of Pasig in Metro Manila, Philippines.
  • D. Barangay Bagong Ilog
    Barangay Bagong Ilog is a residential and commercial barangay in the city of Pasig in Metro Manila, Philippines.
  • E. Barangay Manggahan
    Barangay Manggahan is a residential and commercial barangay in the eastern part of Pasig City in Metro 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 Sta. Rosa
Triple: [Pasig, hasDistrict, Barangay Sta. Rosa]
Generated description
Barangay Sta. Rosa is a local administrative barangay within the highly urbanized city of Pasig in Metro Manila, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Barangay Sta. Rosa
Target entity description: Barangay Sta. Rosa is a local administrative barangay within the highly urbanized city of Pasig in Metro Manila, Philippines.
  • A. Barangay Rosario
    Barangay Rosario is a residential and commercial barangay in the city of Pasig in Metro Manila, Philippines.
  • B. Barangay Sto. Tomas
    Barangay Sto. Tomas is a local administrative barangay within the highly urbanized city of Pasig in Metro Manila, Philippines.
  • C. Barangay Sta. Cruz
    Barangay Sta. Cruz is a residential and commercial barangay in the city of Pasig in Metro Manila, Philippines.
  • D. Barangay Bagong Ilog
    Barangay Bagong Ilog is a residential and commercial barangay in the city of Pasig in Metro Manila, Philippines.
  • E. Barangay Manggahan
    Barangay Manggahan is a residential and commercial barangay in the eastern part of Pasig City in Metro 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35152bfc88190ab5d53ca38f98d8a completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd36a7c9c81908f325bc8a53db0c8 completed March 20, 2026, 11:08 p.m.
NEDg Description generation batch_69bdd500b0088190abf6c7616a379f5c completed March 20, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_69bdd563a7fc8190a7091add8ef0e717 completed March 20, 2026, 11:16 p.m.
Created at: March 12, 2026, 11:14 p.m.