Triple

T10102142
Position Surface form Disambiguated ID Type / Status
Subject Lands of the Crown of Saint Stephen E216227 entity
Predicate includesTerritory 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: [Lands of the Crown of Saint Stephen, includesTerritory, Banat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banat
Context triple: [Lands of the Crown of Saint Stephen, includesTerritory, 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. Hernici
    The Hernici were an ancient Italic tribe of central Italy, known for their early alliance and later conflicts with the expanding Roman Republic.
  • D. Syrmia
    Syrmia is a historical region in the Pannonian Plain, located between the Danube and Sava rivers in present-day Serbia and Croatia.
  • E. Мачва
    Мачва is a historical and geographical region in northwestern Serbia, situated between the Sava and Drina rivers and known for its fertile plains and agricultural significance.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd099c21c819097aac4f0f168a2da completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6d3efec8190b1432ca614aeb334 completed April 5, 2026, 7:24 p.m.
Created at: March 30, 2026, 9:02 p.m.