Triple

T1969410
Position Surface form Disambiguated ID Type / Status
Subject Gallic Empire E42763 entity
Predicate hadMilitaryConflictWith P12 FINISHED
Object central Roman Empire 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: central Roman Empire | Statement: [Gallic Empire, hadMilitaryConflictWith, central Roman Empire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadMilitaryConflictWith
Context triple: [Gallic Empire, hadMilitaryConflictWith, central Roman Empire]
  • A. warParticipatedIn
    Indicates that an entity took part as a combatant or active participant in a specific war or armed conflict.
  • B. militaryConflict chosen
    Indicates a relationship where two or more parties are engaged in organized, armed hostilities or warfare against each other.
  • C. militaryConflictCovered
    Indicates that one entity (such as a document, report, or media item) covers, describes, or reports on a specific military conflict involving another entity.
  • D. beganDuringConflict
    Indicates that the action or relationship started while a specified conflict was ongoing.
  • E. enemyDuringWar
    Indicates that one entity is an enemy of another specifically in the context of a particular war or armed conflict.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3d17274819084cd352a3d2a8151 completed March 7, 2026, 5:12 a.m.
PD Predicate disambiguation batch_69abaff7d4a48190ab0d51aefb1c4e31 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.