Triple

T16724652
Position Surface form Disambiguated ID Type / Status
Subject Eastern European Group E406437 entity
Predicate hasMember P10 FINISHED
Object Croatia E19110 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: Croatia | Statement: [Eastern European Group, hasMember, Croatia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Croatia
Context triple: [Eastern European Group, hasMember, Croatia]
  • A. Croatia chosen
    Croatia is a southeastern European country on the Adriatic Sea, known for its historic coastal cities, thousands of islands, and status as a member of both the European Union and NATO.
  • B. Slovenia
    Slovenia is a Central European country known for its mountains, lakes, and historic cities, and is a member of both the European Union and the Eurozone.
  • C. Herzegovina
    Herzegovina is a mountainous historical region in the western Balkans that forms the southern part of Bosnia and Herzegovina, known for its diverse cultural heritage and Ottoman-era influences.
  • D. Bosnia and Herzegovina
    Bosnia and Herzegovina is a Balkan country in Southeastern Europe known for its complex post-Yugoslav history, diverse cultural and religious heritage, and capital city, Sarajevo.
  • E. Tursko
    Tursko is a historical settlement known primarily as the site of the medieval Sack of Tursko.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38746c8fc81908b9fade26f37be11 completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aaef72fc8190975edfe5076ed9db completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:20 a.m.