Triple

T4668059
Position Surface form Disambiguated ID Type / Status
Subject Peugeot 208 E102895 entity
Predicate assemblyLocation P40 FINISHED
Object Trnava, Slovakia E188013 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: Trnava, Slovakia | Statement: [Peugeot 208, assemblyLocation, Trnava, Slovakia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trnava, Slovakia
Context triple: [Peugeot 208, assemblyLocation, Trnava, Slovakia]
  • A. Trnava, Slovakia chosen
    Trnava is a historic city in western Slovakia known for its well-preserved medieval center and numerous churches, earning it the nickname "Little Rome."
  • B. Trenčín
    Trenčín is a historic city in western Slovakia known for its medieval castle overlooking the Váh River and its role as a regional cultural and economic center.
  • C. Levice
    Levice is a town in southern Slovakia known as a regional center with historical architecture and nearby castle ruins.
  • D. Topoľčany
    Topoľčany is a town in western Slovakia known as the birthplace of several notable Slovak ice hockey players, including Miroslav Šatan.
  • E. Trebišov
    Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633ec8b08190bf8ffd4c3b946f61 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be038912488190a109d4ce624b813d completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:15 p.m.