Triple

T769145
Position Surface form Disambiguated ID Type / Status
Subject Nikola Tesla E16241 entity
Predicate ethnicGroup P194 FINISHED
Object Serb E14932 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: Serb | Statement: [Nikola Tesla, ethnicGroup, Serb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serb
Context triple: [Nikola Tesla, ethnicGroup, Serb]
  • A. Serbian language
    The Serbian language is a South Slavic language primarily spoken in Serbia and neighboring regions, using both Cyrillic and Latin scripts.
  • B. Serbs chosen
    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. Montenegrins
    Montenegrins are a South Slavic ethnic group primarily associated with the country of Montenegro in the western Balkans, known for their distinct cultural and historical identity.
  • E. Croatian
    Croatian is a South Slavic language primarily spoken in Croatia and recognized as one of the official languages of the European Union.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a70376988190be2826259f5281ab completed March 1, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66678f7ac819095eafccf44c6588e completed March 3, 2026, 4:41 a.m.
Created at: March 1, 2026, 7:37 p.m.