Triple

T15542265
Position Surface form Disambiguated ID Type / Status
Subject Oltenia E370507 entity
Predicate containsCounty P5971 FINISHED
Object Olt County E265137 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: Olt County | Statement: [Oltenia, containsCounty, Olt County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olt County
Context triple: [Oltenia, containsCounty, Olt County]
  • A. Olt County chosen
    Olt County is an administrative region in southern Romania, known for its agricultural landscape and location along the lower course of the Olt River.
  • B. Mehedinți County
    Mehedinți County is an administrative region in southwestern Romania, situated along the Danube River and known for its diverse landscapes and historical sites.
  • C. Vaslui County
    Vaslui County is an administrative region in eastern Romania known for its historical towns and predominantly rural landscape.
  • D. Alba County
    Alba County is an administrative region in central Romania, known for its historic city of Alba Iulia and its location in the Transylvania area.
  • E. Teleorman County
    Teleorman County is an administrative region in southern Romania, known for its predominantly rural landscape and location within the historical region of Muntenia.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04432c3808190bb5b653bf8de30c6 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c3be1b481909e35094e8088f836 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:07 a.m.