Triple

T570550
Position Surface form Disambiguated ID Type / Status
Subject Duke of Aquitaine E13652 entity
Predicate politicalImportance P16133 FINISHED
Object high 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: high | Statement: [Duke of Aquitaine, politicalImportance, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalImportance
Context triple: [Duke of Aquitaine, politicalImportance, high]
  • A. hasNationalImportance
    Indicates that something possesses significance or relevance at the level of an entire nation, rather than just local or regional importance.
  • B. politicalFunction
    Indicates that an entity holds, performs, or is associated with a specific role, duty, or function within a political system or structure.
  • C. politicalIssueIn
    Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
  • D. geopoliticalSignificance
    Indicates the importance or influence that a place, event, or relationship holds within regional or global political and strategic power dynamics.
  • E. politicalRepercussion
    Indicates that an action, event, or decision leads to consequences or fallout within a political context, such as shifts in power, public opinion, or policy.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b057e708190b4e5975516e58993 completed March 1, 2026, 8:01 p.m.
PD Predicate disambiguation batch_69a494c2caac819086ab316fa49d324c completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a498dd579081908e02368a4c5efc8c completed March 1, 2026, 7:51 p.m.
Created at: March 1, 2026, 7:33 p.m.