Triple

T38355116
Position Surface form Disambiguated ID Type / Status
Subject Ovčar E1046304 entity
Predicate hasReligiousSiteTypeNearby P916 FINISHED
Object Serbian Orthodox monasteries — 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: Serbian Orthodox monasteries | Statement: [Ovčar, hasReligiousSiteTypeNearby, Serbian Orthodox monasteries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReligiousSiteTypeNearby
Context triple: [Ovčar, hasReligiousSiteTypeNearby, Serbian Orthodox monasteries]
  • A. nearReligiousSite
    Indicates that one entity is located close to or in the immediate vicinity of a religious site.
  • B. hasNearbyPilgrimageSite
    Indicates that one entity is located close to a place used as a pilgrimage site for religious or spiritual journeys.
  • C. hasReligiousSite chosen
    Indicates that a location or entity possesses, contains, or is associated with a religious site such as a temple, church, mosque, shrine, or similar place of worship.
  • D. religiousTextAssociationNearby
    Indicates a spatial relationship where a religious text or related object is located close to or in the immediate vicinity of another entity.
  • E. nearbyRoyalSite
    Indicates that one place or object is located close to a site associated with royalty, such as a palace, castle, or royal residence.
  • 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_69f76e3a94fc81908edc175e8d259e80 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a1c850c819088795a7ae59bdeb8 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:31 p.m.