Triple

T14632436
Position Surface form Disambiguated ID Type / Status
Subject Caraș-Severin County E343514 entity
Predicate locatedIn P40 FINISHED
Object Banat E165084 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: Banat | Statement: [Caraș-Severin County, locatedIn, Banat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banat
Context triple: [Caraș-Severin County, locatedIn, Banat]
  • A. Banat chosen
    Banat is a historical region in Central Europe, now divided among Romania, Serbia, and Hungary, known for its ethnic diversity and multicultural heritage.
  • B. Bosconia
    Bosconia is a Colombian town and municipality located in the Cesar Department, known as an important regional transport and agricultural center.
  • C. Bolhrad
    Bolhrad is a town in southwestern Ukraine known as a historical center of the Bulgarian community in the Odesa region.
  • D. Hernici
    The Hernici were an ancient Italic tribe of central Italy, known for their early alliance and later conflicts with the expanding Roman Republic.
  • E. Syrmia
    Syrmia is a historical region in the Pannonian Plain, located between the Danube and Sava rivers in present-day Serbia and Croatia.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aa7cb48190b008bd6b0e162c89 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda931834081909d90ec0479eca3f9 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.