Triple

T4091155
Position Surface form Disambiguated ID Type / Status
Subject Serbian language E87705 entity
Predicate hasStandardVariety P751 FINISHED
Object Ijekavian Serbian E87705 NE 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: Ijekavian Serbian | Statement: [Serbian language, hasStandardVariety, Ijekavian Serbian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ijekavian Serbian
Context triple: [Serbian language, hasStandardVariety, Ijekavian Serbian]
  • A. Serbo-Croatian
    Serbo-Croatian is a South Slavic language historically spoken across the former Yugoslavia, encompassing the standardized varieties now known as Serbian, Croatian, Bosnian, and Montenegrin.
  • B. Serbian language chosen
    The Serbian language is a South Slavic language primarily spoken in Serbia and neighboring regions, using both Cyrillic and Latin scripts.
  • C. Shtokavian dialect
    The Shtokavian dialect is the South Slavic dialectal base from which the standard forms of Bosnian, Croatian, Serbian, and Montenegrin developed.
  • D. Montenegrin
    Montenegrin is a South Slavic language spoken primarily in Montenegro and recognized as one of the standard varieties of the Serbo-Croatian language continuum.
  • E. Slavyanoserbsk
    Slavyanoserbsk is a small urban settlement in eastern Ukraine, historically part of the Russian Empire and later Soviet administrative divisions, located in the Luhansk region along the Luhan River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcac77788190a5e934fe7c46a1fa completed March 9, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5769e8b188190a6356c325d0551ea completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:39 p.m.