Triple

T3123679
Position Surface form Disambiguated ID Type / Status
Subject Johanna Hendrika Schaay E65244 entity
Predicate accompaniedDuring P45503 FINISHED
Object Abraham Kuyper's religious career 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: Abraham Kuyper's religious career | Statement: [Johanna Hendrika Schaay, accompaniedDuring, Abraham Kuyper's religious career]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accompaniedDuring
Context triple: [Johanna Hendrika Schaay, accompaniedDuring, Abraham Kuyper's religious career]
  • A. usuallyAccompaniedBy
    Indicates that one entity is commonly or habitually found together with, or occurs in the presence of, another entity.
  • B. oftenAccompaniedBy
    Indicates that one entity is frequently found together with, occurs alongside, or is commonly associated in presence or use with another entity.
  • C. ownedDuring
    Indicates that one entity possessed or held ownership of another entity for some or all of a specified time interval.
  • D. companionOf
    Indicates that one entity serves as a companion or partner to another, typically accompanying or being closely associated with them.
  • E. wasAmong
    Indicates that an entity belonged to, was included in, or was part of a particular group, set, or collection.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada52c105c8190b8128e66d9b9e8a0 completed March 8, 2026, 4:34 p.m.
PD Predicate disambiguation batch_69ad9df62e548190b053e1478deed467 completed March 8, 2026, 4:04 p.m.
PDg Predicate description generation batch_69ada0f7c21c819087e9992f5fe30a37 completed March 8, 2026, 4:16 p.m.
Created at: March 8, 2026, 3:04 p.m.