Triple

T23281047
Position Surface form Disambiguated ID Type / Status
Subject PAVN 320th Division E588862 entity
Predicate engagementScale P151655 FINISHED
Object corps-level and multi-division operations 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: corps-level and multi-division operations | Statement: [PAVN 320th Division, engagementScale, corps-level and multi-division operations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: engagementScale
Context triple: [PAVN 320th Division, engagementScale, corps-level and multi-division operations]
  • A. engagementLevel
    Indicates the degree or intensity of involvement, interest, or participation one entity has in relation to another entity, activity, or context.
  • B. engagementOf
    Indicates a relationship where an engagement, commitment, or formal involvement is associated with or attributed to a specific entity.
  • C. engagementTo
    Indicates a formal promise or commitment between two entities to enter into a future partnership or binding relationship.
  • D. engagementRange
    Indicates the distance or span within which an entity can effectively engage, interact with, or affect another entity.
  • E. engagementType
    Indicates the specific kind or category of engagement or interaction that occurs between the related entities.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19642b46481909fd455acd2155792 completed April 29, 2026, 5:25 a.m.
PD Predicate disambiguation batch_69effcecabd88190856fb6e1d993e4dd completed April 28, 2026, 12:18 a.m.
PDg Predicate description generation batch_69f01d8770d081908897c28b04e5faea completed April 28, 2026, 2:37 a.m.
Created at: April 17, 2026, 4:57 p.m.