Triple

T8460156
Position Surface form Disambiguated ID Type / Status
Subject Kovno, Russian Empire E200019 entity
Predicate religiousCenters P1191 FINISHED
Object Catholic churches 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: Catholic churches | Statement: [Kovno, Russian Empire, religiousCenters, Catholic churches]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousCenters
Context triple: [Kovno, Russian Empire, religiousCenters, Catholic churches]
  • A. religiousFoundation
    Indicates that an entity was established, created, or founded by a religious organization, authority, or tradition.
  • B. religiousHouse
    Indicates that an entity is a religious institution or building used for worship, residence, or activities of a religious community.
  • C. religiousTarget
    Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
  • D. isPlaceOfWorshipFor
    Indicates that a location serves as a site where members of a particular religion or belief system perform worship or religious practices.
  • E. hasPlaceOfWorship chosen
    Indicates that an entity possesses, contains, or is associated with a designated location used for religious or spiritual worship.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe49fca788190a8728ff74f4d26f5 completed March 31, 2026, 3:13 p.m.
PD Predicate disambiguation batch_69cbd0fc634481909842c0a30077bfde completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:10 p.m.