Triple

T15848409
Position Surface form Disambiguated ID Type / Status
Subject Bârlad E384271 entity
Predicate locatedIn P40 FINISHED
Object Vaslui County E929927 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: Vaslui County | Statement: [Bârlad, locatedIn, Vaslui County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaslui County
Context triple: [Bârlad, locatedIn, Vaslui County]
  • A. Vaslui County chosen
    Vaslui County is an administrative region in eastern Romania known for its historical towns and predominantly rural landscape.
  • 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. Fier County
    Fier County is an administrative region in southwestern Albania known for its agricultural plains, oil industry, and archaeological sites such as the ancient city of Apollonia.
  • 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. Olt County
    Olt County is an administrative region in southern Romania, known for its agricultural landscape and location along the lower course of the Olt River.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca96c588190922b1f7556dd08cf completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa145f2dc819092db805806b6e1d5 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.