Triple

T12603362
Position Surface form Disambiguated ID Type / Status
Subject Carolingian County of Barcelona E300912 entity
Predicate initiallyGovernedBy P76127 FINISHED
Object Frankish-appointed counts 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: Frankish-appointed counts | Statement: [Carolingian County of Barcelona, initiallyGovernedBy, Frankish-appointed counts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: initiallyGovernedBy
Context triple: [Carolingian County of Barcelona, initiallyGovernedBy, Frankish-appointed counts]
  • A. laterGovernedAs
    Indicates that an entity subsequently held governing authority over another entity at a later time.
  • B. governedByInPast chosen
    Indicates that an entity was under the rule, control, or authority of another entity during a previous time period.
  • C. governingSince
    Indicates that one entity has held a governing or ruling role over another entity starting from a specified point in time.
  • D. governedFrom
    Indicates that an entity exercises governing authority or administrative control over another entity from a specific location or seat of power.
  • E. governedIn
    Indicates that one entity exercised governing authority or administrative control within a specified place or jurisdiction.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9559458dc8190bc4d6e697e99d70e completed April 10, 2026, 7:55 p.m.
PD Predicate disambiguation batch_69d9541894fc8190a0c3706a414279f0 completed April 10, 2026, 7:48 p.m.
Created at: April 9, 2026, 5:10 p.m.