Triple

T13562197
Position Surface form Disambiguated ID Type / Status
Subject Kruševac E323934 entity
Predicate twinTown P1072 FINISHED
Object Pitești, Romania E113270 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: Pitești, Romania | Statement: [Kruševac, twinTown, Pitești, Romania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pitești, Romania
Context triple: [Kruševac, twinTown, Pitești, Romania]
  • A. Ploiești, Romania
    Ploiești is a major Romanian city in Prahova County, historically known for its oil industry and refineries that made it a key European petroleum center.
  • B. Pitești chosen
    Pitești is a city in southern Romania, known as an important industrial and transportation hub and the capital of Argeș County.
  • C. Moinești, Romania
    Moinești, Romania is a small town in Bacău County best known as the birthplace of Dadaist founder and avant-garde poet Tristan Tzara.
  • D. Sibiu, Romania
    Sibiu, Romania is a historic Transylvanian city known for its well-preserved medieval architecture and cultural significance, including being named a European Capital of Culture in 2007.
  • E. Baia Mare
    Baia Mare is a city in northwestern Romania known for its mining history, surrounding Carpathian landscapes, and role as an important regional cultural and economic center.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff5219081909cf60423e79d278f completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75dad601481908de5f266f01f3f49 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:47 p.m.