Triple

T31979753
Position Surface form Disambiguated ID Type / Status
Subject Kagnew Battalion E816543 entity
Predicate numberOfDeploymentsToKorea P203395 FINISHED
Object 3 LITERAL 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: 3 | Statement: [Kagnew Battalion, numberOfDeploymentsToKorea, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfDeploymentsToKorea
Context triple: [Kagnew Battalion, numberOfDeploymentsToKorea, 3]
  • A. sideInKoreanWar
    Indicates that an entity participated as a belligerent on a particular side in the Korean War.
  • B. KoreanCasualties
    Indicates that an entity experienced casualties (deaths or injuries) in the context of the Korean War.
  • C. roleInKoreanWar
    Indicates the specific function, position, or involvement an entity had during the Korean War.
  • D. NorthKoreaDependence
    Indicates a relationship where one party relies on or is significantly influenced by North Korea for support, resources, or strategic backing.
  • E. higherCommandDuringKoreanWar
    Indicates that one entity served as the superior command authority over another entity during the Korean War.
  • F. None of above. chosen

Provenance (4 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_69f348f6a3008190bfb59ca695fd68e2 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a0174e8b5b481908bf0c6d3d5b0f3b6 completed May 11, 2026, 6:19 a.m.
PD Predicate disambiguation batch_6a01748d65248190ac3d9adfa9d0b274 completed May 11, 2026, 6:17 a.m.
PDg Predicate description generation batch_6a0174e7e4c88190b8d81c3d78294f94 completed May 11, 2026, 6:19 a.m.
Created at: May 1, 2026, 12:11 a.m.