Triple

T7736158
Position Surface form Disambiguated ID Type / Status
Subject Cluj-Napoca E175386 entity
Predicate alternativeName P39 FINISHED
Object Kolozsvár E233089 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: Kolozsvár | Statement: [Cluj-Napoca, alternativeName, Kolozsvár]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolozsvár
Context triple: [Cluj-Napoca, alternativeName, Kolozsvár]
  • A. Kolozsvár chosen
    Kolozsvár, known today as Cluj-Napoca, is a major historical and cultural city in Transylvania, Romania, with a significant Hungarian heritage.
  • B. Temesvár
    Temesvár is the historical name for Timișoara, a major city in western Romania that served as an important military and administrative center in the Habsburg Monarchy.
  • C. Oradea
    Oradea is a major city in western Romania near the Hungarian border, known for its Art Nouveau architecture, thermal spas, and role as an important cultural and economic center in the region.
  • D. Kaposvár
    Kaposvár is a city in southwestern Hungary that serves as the administrative and cultural center of Somogy County.
  • E. Székelyudvarhely
    Székelyudvarhely is a historic town in the Székely Land region of eastern Transylvania, Romania, known for its Hungarian-speaking majority and 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035923108190842025631e2314cc completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ef0465a4819095c34584e8f80739 completed March 29, 2026, 9:21 a.m.
Created at: March 27, 2026, 4:06 p.m.