Triple

T10321725
Position Surface form Disambiguated ID Type / Status
Subject Tur Abdin E242151 entity
Predicate presentDayIssue P40848 FINISHED
Object cultural and property rights disputes involving 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: cultural and property rights disputes involving monasteries | Statement: [Tur Abdin, presentDayIssue, cultural and property rights disputes involving monasteries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: presentDayIssue
Context triple: [Tur Abdin, presentDayIssue, cultural and property rights disputes involving monasteries]
  • A. currentIssue
    Indicates that an entity is the presently relevant or active issue in a given context or discussion.
  • B. modernIssue chosen
    Indicates that the subject is a contemporary or current-day issue affecting the object or broader context.
  • C. presentDayRemains
    Indicates that something from the past still exists or has surviving traces in the present day.
  • D. presentDayControl
    Indicates that one entity currently holds authority, governance, or control over another entity in the present day.
  • E. currentChallenges
    Indicates the difficulties or obstacles an entity is presently facing or dealing with.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7ccb7ec8190a538cf279e48116e completed April 7, 2026, 10:09 a.m.
PD Predicate disambiguation batch_69d4d1f64a648190a79980d647898eb0 completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:50 a.m.