Triple

T9613323
Position Surface form Disambiguated ID Type / Status
Subject Scornicești E232156 entity
Predicate locatedIn P40 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: [Scornicești, locatedIn, Olt County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olt County
Context triple: [Scornicești, locatedIn, 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. 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.
  • D. 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.
  • E. Galați County
    Galați County is an administrative region in eastern Romania, situated along the Danube River and centered around the city of Galați.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a8885f88190887843e0fb32a5f3 completed April 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17958287081908e337bdbe9ea366f completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:09 p.m.