Triple

T14472300
Position Surface form Disambiguated ID Type / Status
Subject Southern Romania E358874 entity
Predicate containsPart P35 FINISHED
Object Oltenia E370507 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: Oltenia | Statement: [Southern Romania, containsPart, Oltenia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oltenia
Context triple: [Southern Romania, containsPart, Oltenia]
  • A. Oltenia chosen
    Oltenia is a historical region in southwestern Romania, west of the Olt River, known as the western part of the former principality of Wallachia.
  • B. Crișana
    Crișana is a historical region in western Romania, known for its multicultural heritage and location between the Apuseni Mountains and the Hungarian border.
  • C. Maramureș region
    The Maramureș region is a historic area in northern Romania renowned for its well-preserved rural traditions, wooden churches, and distinctive folk culture.
  • D. Piatra-Olt
    Piatra-Olt is a small town in southern Romania known as a local railway junction and administrative center within Olt County.
  • E. Covasna
    Covasna is a spa town in central Romania, renowned for its mineral springs and cardiovascular treatment facilities.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91fab21c819090b6e209d8efba6e completed April 14, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd649e103c81908001b45c16d1fd79 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.