Triple

T18002158
Position Surface form Disambiguated ID Type / Status
Subject Barangay Kapitolyo E430653 entity
Predicate adjacentTo P224 FINISHED
Object Barangay Oranbo 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 Oranbo | Statement: [Barangay Kapitolyo, adjacentTo, Barangay Oranbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay Oranbo
Context triple: [Barangay Kapitolyo, adjacentTo, Barangay Oranbo]
  • A. Barangay Oranbo chosen
    Barangay Oranbo is a residential and commercial barangay in Pasig City, Metro Manila, known for its proximity to the Ortigas Center business district.
  • B. Barangay Bancal
    Barangay Bancal is a local administrative village-level community within the municipality of Carmona in the province of Cavite, 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 Sampao
    Barangay Sampao is a local administrative village in the Philippines known for encompassing the scenic Ulan-Ulan Falls.
  • E. Barangay Magsaysay
    Barangay Magsaysay is a rural administrative village in the Philippines known for encompassing Mount Manunggal, a notable historical and hiking site.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b3e9498c8190bdfa7a53b0c0d8db completed April 19, 2026, 10:52 a.m.
Created at: April 10, 2026, 10:23 a.m.