Triple

T36921075
Position Surface form Disambiguated ID Type / Status
Subject Ninth Legion E913199 entity
Predicate conflictParticipationStatus P61727 FINISHED
Object participated in multiple Roman civil and foreign wars 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: participated in multiple Roman civil and foreign wars | Statement: [Ninth Legion, conflictParticipationStatus, participated in multiple Roman civil and foreign wars]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: conflictParticipationStatus
Context triple: [Ninth Legion, conflictParticipationStatus, participated in multiple Roman civil and foreign wars]
  • A. conflictRelatedStatus
    Indicates a status or condition that is directly associated with, affected by, or resulting from a conflict.
  • B. conflictParticipantIn
    Indicates that an entity takes part as a participant in a specific conflict or dispute.
  • C. hasPartOfConflict
    Indicates that one conflict includes another conflict as a constituent or subordinate part of it.
  • D. allyInConflict
    Indicates that one entity supports and cooperates with another entity as an ally within the context of a specific conflict or dispute.
  • E. conflictExperience chosen
    Indicates that an entity has undergone or been involved in a conflict, such as a dispute, struggle, or confrontation.
  • F. None of above.

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_69f76e885b848190bad82c87e9525486 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fa0a7b00948190a257273d9968c5d7 completed May 5, 2026, 3:19 p.m.
PD Predicate disambiguation batch_69f9fec9c9488190ae2a349651a02782 completed May 5, 2026, 2:29 p.m.
Created at: May 3, 2026, 4:13 p.m.