Triple

T17769587
Position Surface form Disambiguated ID Type / Status
Subject Lungsod ng Pasig E443596 entity
Predicate contains P35 FINISHED
Object Barangay San Miguel NE NERFINISHED

How this triple was built (2 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 San Miguel | Statement: [Lungsod ng Pasig, contains, Barangay San Miguel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay San Miguel
Context triple: [Lungsod ng Pasig, contains, Barangay San Miguel]
  • A. Barangay San Miguel chosen
    Barangay San Miguel is a local administrative community within the city of Pasig in Metro Manila, Philippines.
  • B. Barangay San Antonio
    Barangay San Antonio is a primarily residential and commercial barangay in Pasig City, Metro Manila, known for its urban communities and proximity to major business districts.
  • C. Barangay San Nicolas
    Barangay San Nicolas is a local administrative community within the highly urbanized city of Pasig in Metro Manila, Philippines.
  • D. Barangay San Jose
    Barangay San Jose is a local administrative village within the municipality of Carmona in the province of Cavite, Philippines.
  • E. Barangay San Vicente
    Barangay San Vicente is a local administrative village-level community within the city of Bislig in the Philippines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fe70648190b4107e1eabacc694 completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.