Triple

T17769593
Position Surface form Disambiguated ID Type / Status
Subject Lungsod ng Pasig E443596 entity
Predicate contains P35 FINISHED
Object Barangay Bambang 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 Bambang | Statement: [Lungsod ng Pasig, contains, Barangay Bambang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay Bambang
Context triple: [Lungsod ng Pasig, contains, Barangay Bambang]
  • A. Barangay Bambang chosen
    Barangay Bambang is a local administrative barangay within the highly urbanized city of Pasig in Metro Manila, Philippines.
  • B. Barangay Palatiw
    Barangay Palatiw is a local administrative neighborhood unit within the city of Pasig in Metro Manila, Philippines.
  • C. Barangay Mangagoy
    Barangay Mangagoy is a major commercial and urban barangay of Bislig City in Surigao del Sur, Philippines, known as one of its primary economic centers.
  • D. Barangay Malinao
    Barangay Malinao is a local administrative neighborhood and community within the highly urbanized city of Pasig in Metro Manila, Philippines.
  • E. Barangay Sampao
    Barangay Sampao is a local administrative village in the Philippines known for encompassing the scenic Ulan-Ulan Falls.
  • 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.