Triple

T1389760
Position Surface form Disambiguated ID Type / Status
Subject Croats E29927 entity
Predicate language P15 FINISHED
Object Croatian language E29128 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: Croatian language | Statement: [Croats, language, Croatian language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Croatian language
Context triple: [Croats, language, Croatian language]
  • A. Croatian chosen
    Croatian is a South Slavic language primarily spoken in Croatia and recognized as one of the official languages of the European Union.
  • B. Kajkavian dialect
    The Kajkavian dialect is a South Slavic variety traditionally spoken in northwestern Croatia, distinguished by its unique phonological and lexical features within the Croatian language.
  • C. Bosnian
    Bosnian is a South Slavic language primarily spoken in Bosnia and Herzegovina and by Bosniak communities in the Balkans and worldwide.
  • D. Italo-Dalmatian language
    The Italo-Dalmatian language group is a branch of the Romance languages that includes varieties such as Italian and its close relatives spoken historically in parts of Italy and the eastern Adriatic.
  • E. Serbian language
    The Serbian language is a South Slavic language primarily spoken in Serbia and neighboring regions, using both Cyrillic and Latin scripts.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c35ce48c81909aaad7dfa2df63fa completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace56bf6c48190839a9d01c935e4bf completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:59 p.m.