Triple

T9443610
Position Surface form Disambiguated ID Type / Status
Subject Royal 22e Régiment E227707 entity
Predicate battleHonour P12198 FINISHED
Object Kapyong E225385 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: Kapyong | Statement: [Royal 22e Régiment, battleHonour, Kapyong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kapyong
Context triple: [Royal 22e Régiment, battleHonour, Kapyong]
  • A. Kapyong chosen
    Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
  • B. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • C. Bakumpai
    The Bakumpai are an indigenous Dayak ethnic group of central Kalimantan, Indonesia, traditionally living along the Barito River and known for their distinct language and river-based culture.
  • D. Kalamansig
    Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
  • E. Kabugao
    Kabugao is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f3171248190b92ab990371e63f5 completed April 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d110627f3881908736497901a5eba8 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:51 p.m.