Triple

T29116646
Position Surface form Disambiguated ID Type / Status
Subject Zweibrücken-Birkenfeld E737062 entity
Predicate hadEstates P166348 FINISHED
Object nobility 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: nobility | Statement: [Zweibrücken-Birkenfeld, hadEstates, nobility]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadEstates
Context triple: [Zweibrücken-Birkenfeld, hadEstates, nobility]
  • A. hadEstate
    Indicates that an entity possessed or owned a particular estate or landed property.
  • B. hadEstatesAssembly
    Indicates that an entity possessed or was associated with a legislative or deliberative estates assembly (such as a representative body of estates or orders).
  • C. hasNearbyHistoricalEstate
    Indicates that one entity is located close to another entity that is a recognized historical estate.
  • D. heirOfEstate
    Indicates that one entity is legally designated to inherit the estate or property of another entity, typically upon that entity’s death.
  • E. originalEstates
    Indicates that an entity is associated with or represents the initial or primary estates from which subsequent rights, interests, or derived estates originate.
  • 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_69f077ed54e08190bb02a744e8121a66 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f661f1378c8190aa0ffc365dfb589f completed May 2, 2026, 8:43 p.m.
PD Predicate disambiguation batch_69f65c2376a08190be5215171e908e69 completed May 2, 2026, 8:18 p.m.
PDg Predicate description generation batch_69f65f75ac608190a62cd6afce14f68e completed May 2, 2026, 8:32 p.m.
Created at: April 28, 2026, 11:22 a.m.