Triple

T20557443
Position Surface form Disambiguated ID Type / Status
Subject North Caucasian languages (hypothetical) E504754 entity
Predicate hasOpponentsView P140548 FINISHED
Object similarities are due to contact and typology 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: similarities are due to contact and typology | Statement: [North Caucasian languages (hypothetical), hasOpponentsView, similarities are due to contact and typology]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOpponentsView
Context triple: [North Caucasian languages (hypothetical), hasOpponentsView, similarities are due to contact and typology]
  • A. hasOpposingSide
    Indicates that one entity possesses or is associated with another entity that lies on the opposite or facing side relative to a reference orientation or boundary.
  • B. sawOpponentsAs
    Indicates perceiving or regarding certain entities as opponents or adversaries.
  • C. consideredOpponentsAs
    Indicates that one entity regarded or treated another entity as an opponent or adversary.
  • D. hasOpponentAction
    Indicates that one entity performs an action that is in opposition or direct competition to the action of another entity.
  • E. hasOpposingAgent
    Indicates that an entity is opposed or counteracted by another agent in a given context or interaction.
  • F. None of above. chosen

Provenance (4 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5df84088190848c7eb35564d8f9 completed April 20, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69e59ff0116c8190a163ff28ed01430a completed April 20, 2026, 3:39 a.m.
PDg Predicate description generation batch_69e5a6a824748190bbe6192d73f3c613 completed April 20, 2026, 4:08 a.m.
Created at: April 16, 2026, 11:38 a.m.