Triple

T15403993
Position Surface form Disambiguated ID Type / Status
Subject Steenwijk E368400 entity
Predicate hasOldChurches P38129 FINISHED
Object true 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: true | Statement: [Steenwijk, hasOldChurches, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOldChurches
Context triple: [Steenwijk, hasOldChurches, true]
  • A. hasHistoricChurches chosen
    Indicates that an entity possesses or contains one or more churches of recognized historical significance.
  • B. isOldestSurvivingChurchIn
    Indicates that a church is the most ancient one still standing within a specified location or region.
  • C. hasProminentChurches
    Indicates that the subject possesses or is characterized by notable or significant church buildings or congregations.
  • D. usedAsChurchUntil
    Indicates that something served the function or role of a church up to a specified point in time.
  • E. hasAncientChristianHeritage
    Indicates that an entity possesses a historical connection to early or longstanding Christian traditions, communities, or influences.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8fde64819082ec0c68df305561 completed April 16, 2026, 1:42 a.m.
PD Predicate disambiguation batch_69ded27b8cac8190bfa77698d53c5d1c completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:19 a.m.