Triple

T11574212
Position Surface form Disambiguated ID Type / Status
Subject Erste Kammer E274461 entity
Predicate typicalPowers P89369 FINISHED
Object participation in constitutional amendments (in many systems) 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: participation in constitutional amendments (in many systems) | Statement: [Erste Kammer, typicalPowers, participation in constitutional amendments (in many systems)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalPowers
Context triple: [Erste Kammer, typicalPowers, participation in constitutional amendments (in many systems)]
  • A. typicalPower chosen
    Indicates the usual or characteristic amount of power associated with an entity under normal operating conditions.
  • B. notablePower
    Indicates that an entity possesses a significant or distinguished form of power, influence, or capability that is recognized as noteworthy.
  • C. usesPowerType
    Indicates that one entity operates or functions by means of a specified type or source of power.
  • D. notableAbsorbedPowersFrom
    Indicates that one entity is known for having taken in or acquired powers or abilities from another entity.
  • E. heroPower
    Indicates that an entity possesses or is associated with a particular heroic power or special ability.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89048120c81908258f984711f7dd4 completed April 10, 2026, 5:53 a.m.
PD Predicate disambiguation batch_69d85dcbacd0819094d4a1237055affa completed April 10, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:38 p.m.