Triple

T8109243
Position Surface form Disambiguated ID Type / Status
Subject Prahova County E189305 entity
Predicate borders P224 FINISHED
Object Dâmbovița County E255555 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: Dâmbovița County | Statement: [Prahova County, borders, Dâmbovița County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dâmbovița County
Context triple: [Prahova County, borders, Dâmbovița County]
  • A. Timiș County
    Timiș County is an administrative region in western Romania, known for its capital city Timișoara and its role as an economic and cultural hub in the Banat region.
  • B. Argeș County chosen
    Argeș County is an administrative region in southern Romania, known for encompassing part of the Southern Carpathians and including Romania’s highest peak, Moldoveanu.
  • C. Vâlcea County
    Vâlcea County is an administrative region in south-central Romania, known for its mountainous landscapes, spa resorts, and historical monasteries.
  • D. Suceava County
    Suceava County is an administrative region in northeastern Romania, encompassing a large part of the historical and cultural area of Bukovina.
  • E. Tulcea County
    Tulcea County is an administrative region in southeastern Romania, known for encompassing much of the Danube Delta and its rich biodiversity.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fbc57c81908c6be87bbc547085 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe994fc881908a43cfdf9f28753c completed April 1, 2026, 6:43 a.m.
Created at: March 30, 2026, 5:32 p.m.