Triple

T22405454
Position Surface form Disambiguated ID Type / Status
Subject Comtat Venaissin E553867 entity
Predicate hadSpecialPrivileges P6973 FINISHED
Object tax exemptions 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: tax exemptions | Statement: [Comtat Venaissin, hadSpecialPrivileges, tax exemptions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadSpecialPrivileges
Context triple: [Comtat Venaissin, hadSpecialPrivileges, tax exemptions]
  • A. hadSpecialStatusIn chosen
    Indicates that an entity possessed a particular special, exceptional, or non-standard status within a specified context or time period.
  • B. formerPrivilege
    Indicates that an entity once held a certain privilege or right but no longer does so in the present.
  • C. hasSpecialMerit
    Indicates that an entity possesses exceptional or noteworthy qualities that distinguish it from others in a positive way.
  • D. lostPrivilegesDuring
    Indicates that an entity had certain privileges revoked or suspended for the duration of a specified time period or event.
  • E. hadMonopolyOnPower
    Indicates that one entity exclusively controlled or dominated power or authority, without significant competition or sharing with others.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b739b88190a7f1f20fd1e9b188 completed April 29, 2026, 1:02 a.m.
PD Predicate disambiguation batch_69e8989495bc81909d2699fce5992e28 completed April 22, 2026, 9:44 a.m.
Created at: April 16, 2026, 8:46 p.m.