Triple

T10828553
Position Surface form Disambiguated ID Type / Status
Subject Argeș County E255555 entity
Predicate hasTown P847 FINISHED
Object Curtea de Argeș E358875 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: Curtea de Argeș | Statement: [Argeș County, hasTown, Curtea de Argeș]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curtea de Argeș
Context triple: [Argeș County, hasTown, Curtea de Argeș]
  • A. Curtea de Argeș chosen
    Curtea de Argeș is a historic Romanian town renowned for its medieval royal court and its famous 16th-century monastery, a masterpiece of Byzantine-inspired architecture.
  • B. Rășinari
    Rășinari is a traditional Transylvanian village in Sibiu County, Romania, known for its pastoral setting and as the birthplace of philosopher Emil Cioran.
  • C. Dubăsari
    Dubăsari is a town in the disputed region of Transnistria, internationally recognized as part of Moldova, known for its strategic location and hydroelectric dam on the Dniester River.
  • D. Rădăuți
    Rădăuți is a historic town in northeastern Romania known for its cultural heritage and proximity to the painted monasteries of Bukovina.
  • E. Bușteni
    Bușteni is a Romanian mountain resort town in the Prahova Valley, known for its access to the Bucegi Mountains and popular skiing and hiking opportunities.
  • 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_69de8592d8f08190ac577395ad7cc557 completed April 14, 2026, 6:21 p.m.
Created at: April 8, 2026, 9:19 p.m.