Triple

T12669880
Position Surface form Disambiguated ID Type / Status
Subject El-Auria E302648 entity
Predicate civilizationTrait P106203 FINISHED
Object non-aggressive 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: non-aggressive | Statement: [El-Auria, civilizationTrait, non-aggressive]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: civilizationTrait
Context triple: [El-Auria, civilizationTrait, non-aggressive]
  • A. coreCivilization
    Indicates that an entity functions as a central or foundational civilization within a broader cultural, historical, or systemic context.
  • B. describesCivilizationType
    Indicates that one entity characterizes or specifies the type or category of civilization to which another entity belongs.
  • C. affectedCivilization
    Indicates that one civilization has experienced an impact, influence, or change as a result of another entity, event, or process.
  • D. focusesOnCivilization
    Indicates that an entity’s primary subject, concern, or activity is centered on a particular civilization or civilizations.
  • E. hasCivilization
    Indicates that an entity possesses, hosts, or is associated with an organized society or culture characterized by social, political, and technological development.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ae493481908f82e0d05dce20bd completed April 10, 2026, 8:46 p.m.
PD Predicate disambiguation batch_69d960bb64ec8190bd0400cf0cc8b0a7 completed April 10, 2026, 8:42 p.m.
PDg Predicate description generation batch_69d961acadb8819098de743bc951fedb completed April 10, 2026, 8:46 p.m.
Created at: April 9, 2026, 5:20 p.m.