Triple

T11068197
Position Surface form Disambiguated ID Type / Status
Subject Armeno-Tat E261677 entity
Predicate contactSituation P19362 FINISHED
Object long-term contact between Tat and Armenian speakers 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: long-term contact between Tat and Armenian speakers | Statement: [Armeno-Tat, contactSituation, long-term contact between Tat and Armenian speakers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contactSituation
Context triple: [Armeno-Tat, contactSituation, long-term contact between Tat and Armenian speakers]
  • A. contactWith chosen
    Indicates that two entities are in direct or indirect physical or communicative interaction or touch with each other.
  • B. contactLanguageWith
    Indicates that two entities communicate with each other using a particular language as the medium of contact.
  • C. technicalContact
    Indicates that one entity serves as the primary point of contact for technical issues, support, or maintenance related to another entity.
  • D. contactWithOutsiders
    Indicates that an entity interacts or communicates directly with individuals or groups outside its usual or designated community, organization, or system.
  • E. communicationChannel
    Indicates a medium or method through which information is transmitted between parties.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7992164d88190a01ed567b2529227 completed April 9, 2026, 12:18 p.m.
PD Predicate disambiguation batch_69d74411d9e881908c0eeafa0f38e4b6 completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:26 p.m.