Triple

T11820513
Position Surface form Disambiguated ID Type / Status
Subject University of Kolozsvár E281113 entity
Predicate locatedIn P40 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: [University of Kolozsvár, locatedIn, Kolozsvár]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolozsvár
Context triple: [University of Kolozsvár, locatedIn, 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e87e488190905bc3bb6d721e56 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f49cbc6808819094a73b505907e2ef completed May 1, 2026, 12:29 p.m.
Created at: April 8, 2026, 9:42 p.m.