Triple

T9569247
Position Surface form Disambiguated ID Type / Status
Subject Byzantine Empire (as ally during 1453 siege) E230871 entity
Predicate internalIssue P33633 FINISHED
Object religious division over union with Rome 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: religious division over union with Rome | Statement: [Byzantine Empire (as ally during 1453 siege), internalIssue, religious division over union with Rome]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: internalIssue
Context triple: [Byzantine Empire (as ally during 1453 siege), internalIssue, religious division over union with Rome]
  • A. hasInternalIssue chosen
    Indicates that an entity is experiencing a problem, fault, or malfunction originating within itself or its internal components or processes.
  • B. issueType
    Indicates the specific category or classification assigned to an issue within a tracking or management context.
  • C. knownIssue
    Indicates that the subject has an issue or problem that is already identified, recognized, or documented.
  • D. internalOutcome
    Indicates an outcome or result that arises from within an entity, system, or process itself, rather than from external factors.
  • E. underlyingIssue
    Indicates that one situation, problem, or condition is the fundamental cause or root problem behind another.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd998940c881909f9025512cf72fe9 completed April 1, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69ccd59b960c8190966a8870a2426bd5 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:04 p.m.