Triple

T13317694
Position Surface form Disambiguated ID Type / Status
Subject Torlakian dialects E317230 entity
Predicate transitionalBetween P22231 FINISHED
Object 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: Serbian | Statement: [Torlakian dialects, transitionalBetween, Serbian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serbian
Context triple: [Torlakian dialects, transitionalBetween, Serbian]
  • A. Serbian language chosen
    The Serbian language is a South Slavic language primarily spoken in Serbia and neighboring regions, using both Cyrillic and Latin scripts.
  • B. 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.
  • C. 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.
  • D. Serbian Wikisource
    Serbian Wikisource is the Serbian-language edition of Wikisource, a free online digital library of public domain and freely licensed texts.
  • E. Serbian Wikiquote
    Serbian Wikiquote is the Serbian-language edition of Wikiquote, a Wikimedia Foundation project that collects notable quotations from people, books, films, and other sources.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f9a384819085890e18255ee339 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716ee695c81909ffeeb0901ee66c1 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:29 p.m.