Triple

T909758
Position Surface form Disambiguated ID Type / Status
Subject Montenegro E19630 entity
Predicate nationalMottoLanguage P4406 FINISHED
Object Montenegrin E31300 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: Montenegrin | Statement: [Montenegro, nationalMottoLanguage, Montenegrin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montenegrin
Context triple: [Montenegro, nationalMottoLanguage, Montenegrin]
  • 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. Montenegrins chosen
    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.
  • C. Bosnian
    Bosnian is a South Slavic language primarily spoken in Bosnia and Herzegovina and by Bosniak communities in the Balkans and worldwide.
  • D. 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.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2dca5208190bc9f17cd9dd6a98f completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c73d5bdc8190828cdf9f54e33a46 completed March 4, 2026, 5:46 a.m.
Created at: March 1, 2026, 7:39 p.m.