Triple

T10670546
Position Surface form Disambiguated ID Type / Status
Subject Chinese Filipinos E251473 entity
Predicate majorSettlement P316 FINISHED
Object Baguio E101543 NE FINISHED

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: Baguio | Statement: [Chinese Filipinos, majorSettlement, Baguio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baguio
Context triple: [Chinese Filipinos, majorSettlement, Baguio]
  • A. Baguio chosen
    Baguio is a mountain resort city in the Philippines known for its cool climate, pine forests, and role as the country's "Summer Capital."
  • B. Laoag
    Laoag is a coastal city in northern Luzon, Philippines, known as the capital of Ilocos Norte and a regional center for commerce, education, and tourism.
  • C. Initao
    Initao is a coastal municipality in the province of Misamis Oriental in the Philippines, known for its beaches, marine sanctuary, and limestone forest park.
  • D. Itbayat
    Itbayat is a remote island municipality in the northernmost part of the Philippines, known for its rugged coastal cliffs, traditional stone houses, and preserved Ivatan culture.
  • E. Cagayan de Oro
    Cagayan de Oro is a highly urbanized city in Northern Mindanao, Philippines, known as a regional economic hub and gateway to the island’s northern corridor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f86390648190851693aedce6b7ad completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154679bb88190b2fffeea74d1fc50 completed April 16, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:09 p.m.