Triple

T974607
Position Surface form Disambiguated ID Type / Status
Subject Michael E21023 entity
Predicate isUsedInLanguage P907 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: [Michael, isUsedInLanguage, Serbian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serbian
Context triple: [Michael, isUsedInLanguage, 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. Serbs
    Serbs are a South Slavic ethnic group primarily associated with Serbia and the broader Balkan region, known for their distinct language, culture, and historical influence in Southeast Europe.
  • C. Bosnian
    Bosnian is a South Slavic language primarily spoken in Bosnia and Herzegovina and by Bosniak communities in the Balkans and worldwide.
  • D. Serbian Latin alphabet
    The Serbian Latin alphabet is the standardized Latin-script writing system used for the Serbian language alongside the Serbian Cyrillic alphabet.
  • E. Serbian Cyrillic alphabet
    The Serbian Cyrillic alphabet is the standardized Cyrillic script used for writing the Serbian language, consisting of 30 letters in a one-to-one correspondence with Serbian phonemes.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b460a5c0819087b03dfb8a3af2c2 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac170c0fdc8190b904ca5737764f5a completed March 7, 2026, 12:16 p.m.
Created at: March 1, 2026, 7:40 p.m.