Triple

T4241412
Position Surface form Disambiguated ID Type / Status
Subject Kastoria (regional unit) E95419 entity
Predicate hasReligiousSites P916 FINISHED
Object Orthodox Christian 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: Orthodox Christian monasteries | Statement: [Kastoria (regional unit), hasReligiousSites, Orthodox Christian monasteries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReligiousSites
Context triple: [Kastoria (regional unit), hasReligiousSites, Orthodox Christian monasteries]
  • A. 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.
  • B. isPilgrimageDestination
    Indicates that a place serves as a destination specifically visited by people undertaking a religious or spiritual pilgrimage.
  • C. nearReligiousSite
    Indicates that one entity is located close to or in the immediate vicinity of a religious site.
  • D. religiousSiteRank
    Indicates the hierarchical or status-based rank assigned to a religious site within a religious or organizational structure.
  • E. religiousSiteType
    Indicates the specific kind or category of religious site associated with an entity (e.g., church, mosque, temple).
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e87c9d88190a093b1289df5b974 completed March 12, 2026, 11:38 p.m.
PD Predicate disambiguation batch_69b347f587148190a1830503459939b6 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:05 p.m.