Triple

T10828545
Position Surface form Disambiguated ID Type / Status
Subject Argeș County E255555 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: [Argeș County, borders, Vâlcea County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vâlcea County
Context triple: [Argeș 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d3eab88190b30a3025b6b2b0bc completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154a582188190af96ae0d5cc08dc4 completed April 16, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:19 p.m.