Triple

T23310480
Position Surface form Disambiguated ID Type / Status
Subject Nun danket alle Gott E590568 entity
Predicate approximateTextCompositionYear P114755 FINISHED
Object 1630 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: 1630 | Statement: [Nun danket alle Gott, approximateTextCompositionYear, 1630]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximateTextCompositionYear
Context triple: [Nun danket alle Gott, approximateTextCompositionYear, 1630]
  • A. approximateYearWritten chosen
    Indicates the estimated calendar year in which something was written, when the exact year is not known.
  • B. approximateStartYear
    Indicates that the associated year value represents an estimated or imprecise starting year for an event, state, or relationship rather than an exact one.
  • C. retitleApproxYear
    Indicates that an entity was retitled or renamed around an approximate year, rather than at a precisely known date.
  • D. releaseApproximateYear
    Indicates that an entity was released or made available around a specified year, where the year is approximate rather than exact.
  • E. approximateBirthYear
    Indicates that the associated year is an estimated or inferred value for when an entity was born, rather than an exact known birth year.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972acad08190bb56541b822555cd completed April 29, 2026, 5:29 a.m.
PD Predicate disambiguation batch_69effcf8ca2c8190887d4f4656617d21 completed April 28, 2026, 12:19 a.m.
Created at: April 17, 2026, 5:05 p.m.