Triple

T9443406
Position Surface form Disambiguated ID Type / Status
Subject registered association (eingetragener Verein) E227703 entity
Predicate registeredAt P88217 FINISHED
Object register of associations (Vereinsregister) — 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: register of associations (Vereinsregister) | Statement: [registered association (eingetragener Verein), registeredAt, register of associations (Vereinsregister)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: registeredAt
Context triple: [registered association (eingetragener Verein), registeredAt, register of associations (Vereinsregister)]
  • A. inscriptionDate
    Indicates the date on which an inscription was created, carved, or formally recorded.
  • B. establishedAt
    Indicates the specific time or date at which something (such as an organization, system, or entity) was founded or brought into existence.
  • C. establishedFrom
    Indicates that something was created, founded, or formed starting from a specified source, origin, or prior entity.
  • D. formedAt
    Indicates the time or date at which an entity was created, established, or came into existence.
  • E. basedAtSince
    Indicates that an entity has been continuously based or located at a specific place starting from a given point in time.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f3171248190b92ab990371e63f5 completed April 1, 2026, 8:25 p.m.
PD Predicate disambiguation batch_69cca5596ffc819097e9c8eefd4ef9b8 completed April 1, 2026, 4:55 a.m.
PDg Predicate description generation batch_69cca89d0f0c8190b4528990fe708fca completed April 1, 2026, 5:09 a.m.
Created at: March 30, 2026, 7:51 p.m.