Triple

T15867929
Position Surface form Disambiguated ID Type / Status
Subject Cîteaux Abbey E384758 entity
Predicate hasSuccessorCommunities P96272 FINISHED
Object Cistercian monasteries across Europe 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: Cistercian monasteries across Europe | Statement: [Cîteaux Abbey, hasSuccessorCommunities, Cistercian monasteries across Europe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSuccessorCommunities
Context triple: [Cîteaux Abbey, hasSuccessorCommunities, Cistercian monasteries across Europe]
  • A. hasDescendantCommunitiesIn chosen
    Indicates that a community has descendant or subordinate communities located within a specified place or region.
  • B. hasCitySuccessor
    Indicates that one city is the successor or replacement of another city, typically in terms of status, function, or administrative role.
  • C. hasRemoteCommunities
    Indicates that an entity maintains or is associated with communities located in distant or geographically isolated areas.
  • D. successorByCommunity
    Indicates that one entity directly follows or replaces another within the same community or communal context.
  • E. hasCommunityIn
    Indicates that a community is present, active, or established within a specified location, platform, or context.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e174de2cd48190ab18e48c9f051a2a completed April 16, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69e142b976c081908d3ba3e705419f3a completed April 16, 2026, 8:12 p.m.
Created at: April 10, 2026, 4:50 a.m.