Triple

T521707
Position Surface form Disambiguated ID Type / Status
Subject National Assembly of France E10829 entity
Predicate successorInLegislativeHierarchy P15243 FINISHED
Object none 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: none | Statement: [National Assembly of France, successorInLegislativeHierarchy, none]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successorInLegislativeHierarchy
Context triple: [National Assembly of France, successorInLegislativeHierarchy, none]
  • A. successorOfficeTo
    Indicates that one office or position directly follows and replaces another in an official sequence or hierarchy.
  • B. successorDivision
    Indicates that one division is the organizational successor that continues or replaces the role, functions, or identity of another division.
  • C. successorTerritorialStatus
    Indicates the territorial status or jurisdiction that directly follows and replaces a previous territorial status in a succession or transition.
  • D. countrySuccessor
    Indicates that one country is the direct successor state to another, inheriting its sovereignty or international status.
  • E. successorInCity
    Indicates that one entity directly follows or replaces another in holding a particular role, position, or function within the same city.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b372408190b3918fec45444674 completed Feb. 28, 2026, 1:46 p.m.
PD Predicate disambiguation batch_69a2f018129c81909494450fcba71b59 completed Feb. 28, 2026, 1:39 p.m.
PDg Predicate description generation batch_69a2f0f73af88190bc8f00c2047cc8b8 completed Feb. 28, 2026, 1:43 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.