Triple

T1978721
Position Surface form Disambiguated ID Type / Status
Subject Pyeongtaek E42974 entity
Predicate hasSisterCity P919 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: [Pyeongtaek, hasSisterCity, Baguio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baguio
Context triple: [Pyeongtaek, hasSisterCity, 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. 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.
  • C. Caloocan
    Caloocan is a highly urbanized city in the Philippines that forms part of the northern section of Metro Manila and serves as a major residential and commercial hub.
  • D. Davao City
    Davao City is a major urban center in the southern Philippines known for its economic hub status, proximity to Mount Apo, and reputation as one of the country’s safest and most progressive cities.
  • E. Tagbilaran
    Tagbilaran is a coastal city on Bohol Island in the central Philippines, known as the province’s capital and a key hub for tourism and commerce in the Visayas region.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb43011188190b6a41c004e9e4802 completed March 7, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fda860481909cae9db2dd60aec9 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:36 p.m.