Triple

T753479
Position Surface form Disambiguated ID Type / Status
Subject Royal Romanian Air Force E15500 entity
Predicate notableBase P7127 FINISHED
Object Ploiești region E36375 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: Ploiești region | Statement: [Royal Romanian Air Force, notableBase, Ploiești region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ploiești region
Context triple: [Royal Romanian Air Force, notableBase, Ploiești region]
  • A. Râmnicu Vâlcea
    Râmnicu Vâlcea is a city in south-central Romania, located on the Olt River and serving as the capital of Vâlcea County.
  • B. Tulcea
    Tulcea is a city in southeastern Romania that serves as a key gateway to the Danube Delta and an important regional port and cultural center.
  • C. Ploiești, Romania chosen
    Ploiești is a major Romanian city in Prahova County, historically known for its oil industry and refineries that made it a key European petroleum center.
  • D. Bukovina
    Bukovina is a historical region in Eastern Europe, now divided between Romania and Ukraine, known for its multicultural heritage and once forming part of the Austro-Hungarian Empire.
  • E. Sighetu Marmației
    Sighetu Marmației is a town in northern Romania’s Maramureș region, known as the birthplace of Nobel laureate and Holocaust survivor Elie Wiesel.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a64ecadc8190a82e25444e7abba6 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654eae9608190af3b410ecc041660 completed March 3, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:37 p.m.