Triple

T10946562
Position Surface form Disambiguated ID Type / Status
Subject Brașov County E258611 entity
Predicate contains P35 FINISHED
Object Țara Bârsei E290246 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: Țara Bârsei | Statement: [Brașov County, contains, Țara Bârsei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Țara Bârsei
Context triple: [Brașov County, contains, Țara Bârsei]
  • A. Țara Bârsei chosen
    Țara Bârsei is a historic region in southeastern Transylvania, Romania, known for its dense concentration of medieval fortified churches and Saxon heritage.
  • B. Satu Mare
    Satu Mare is a city in northwestern Romania near the Hungarian border, known as a regional economic and cultural center with a diverse ethnic heritage.
  • C. Costinești
    Costinești is a Romanian Black Sea coastal resort village known for its youthful summer tourism, beaches, and lively nightlife.
  • D. Tecuci
    Tecuci is a town in eastern Romania known as a local transport hub and administrative center in Galați County.
  • E. Piatra Neamț
    Piatra Neamț is a historic city in northeastern Romania, known for its picturesque setting in the Carpathian foothills and rich cultural heritage.
  • 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_69e2d733f7d88190b45df5c155ff5a46 completed April 18, 2026, 12:58 a.m.
Created at: April 8, 2026, 9:23 p.m.