Triple

T19181595
Position Surface form Disambiguated ID Type / Status
Subject Sebes River E469586 entity
Predicate region P40 FINISHED
Object Alba County NE NERFINISHED

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: Alba County | Statement: [Sebes River, region, Alba County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alba County
Context triple: [Sebes River, region, Alba County]
  • A. Alba County chosen
    Alba County is an administrative region in central Romania, known for its historic city of Alba Iulia and its location in the Transylvania area.
  • B. Galați County
    Galați County is an administrative region in eastern Romania, situated along the Danube River and centered around the city of Galați.
  • C. 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.
  • 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. Arges County
    Argeș County is an administrative region in southern Romania, known for its historic monasteries, Carpathian landscapes, and the city of Pitești as its capital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f61cab348190965e96ac0f701f9f completed April 20, 2026, 9:47 a.m.
Created at: April 10, 2026, 12:07 p.m.