Triple

T15086551
Position Surface form Disambiguated ID Type / Status
Subject Kalampaka E360287 entity
Predicate hasReligiousSitesNearby P29505 FINISHED
Object Eastern 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: Eastern Orthodox monasteries | Statement: [Kalampaka, hasReligiousSitesNearby, Eastern Orthodox monasteries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReligiousSitesNearby
Context triple: [Kalampaka, hasReligiousSitesNearby, Eastern Orthodox monasteries]
  • A. hasReligiousSite
    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. nearReligiousSite chosen
    Indicates that one entity is located close to or in the immediate vicinity of a religious site.
  • C. hasNearbyPilgrimageSite
    Indicates that one entity is located close to a place used as a pilgrimage site for religious or spiritual journeys.
  • D. isPlaceOfPilgrimageFor
    Indicates that a location serves as a destination for religious or spiritual pilgrimage for a person or group.
  • E. isPilgrimageDestination
    Indicates that a place serves as a destination specifically visited by people undertaking a religious or spiritual pilgrimage.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00276d1608190bc310d5b86ecd1d5 completed April 15, 2026, 9:26 p.m.
PD Predicate disambiguation batch_69deb9645b9c8190a5712456dbd78029 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:03 a.m.