Triple

T10946535
Position Surface form Disambiguated ID Type / Status
Subject Brașov County E258611 entity
Predicate borders P224 FINISHED
Object Vâlcea County E274937 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: Vâlcea County | Statement: [Brașov County, borders, Vâlcea County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vâlcea County
Context triple: [Brașov County, borders, Vâlcea County]
  • A. Vâlcea County chosen
    Vâlcea County is an administrative region in south-central Romania, known for its mountainous landscapes, spa resorts, and historical monasteries.
  • B. Argeș County
    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. Dâmbovița County
    Dâmbovița County is an administrative region in southern Romania, part of the historical region of Muntenia, with Târgoviște as its capital.
  • 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. 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.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770eaaea08190b06e508600d8a305 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4acc9d60c819084e342076fe682fc completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:23 p.m.