Triple

T28436490
Position Surface form Disambiguated ID Type / Status
Subject Sorkheh, Semnan Province, Iran E715277 entity
Predicate regionLanguageCharacteristic P130244 FINISHED
Object area with several distinct Semnani-type dialects 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: area with several distinct Semnani-type dialects | Statement: [Sorkheh, Semnan Province, Iran, regionLanguageCharacteristic, area with several distinct Semnani-type dialects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionLanguageCharacteristic
Context triple: [Sorkheh, Semnan Province, Iran, regionLanguageCharacteristic, area with several distinct Semnani-type dialects]
  • A. regionLanguage
    Indicates that a particular language is used or officially recognized within a specific geographic region.
  • B. regionalCharacteristic chosen
    Indicates that a particular feature, quality, or attribute is typical of, or distinctive to, a specific geographic region.
  • C. regionLanguageType
    Indicates the type or category of language associated with a given region.
  • D. regionOfMajorLanguage
    Indicates the geographic region where a particular language is predominantly spoken or holds major usage.
  • E. recognizedRegionalLanguage
    Indicates that a language holds officially recognized status within a specific region or subnational jurisdiction.
  • 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_69efd6b253888190b3c7222ed6a403a8 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69fd02680d948190a3463fb119ba8556 completed May 7, 2026, 9:21 p.m.
PD Predicate disambiguation batch_69fcf89c69b4819082bbc564bd15137d completed May 7, 2026, 8:39 p.m.
Created at: April 28, 2026, 1:43 a.m.