Triple

T1902470
Position Surface form Disambiguated ID Type / Status
Subject Abraham Wald E37720 entity
Predicate placeOfBirth P1 FINISHED
Object Kolozsvár
Kolozsvár, known today as Cluj-Napoca, is a major historical and cultural city in Transylvania, Romania, with a significant Hungarian heritage.
 E233089 NE FINISHED

How this triple was built (4 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: [Abraham Wald, placeOfBirth, Kolozsvár]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kolozsvár
Context triple: [Abraham Wald, placeOfBirth, Kolozsvár]
  • A. Kaposvár
    Kaposvár is a city in southwestern Hungary that serves as the administrative and cultural center of Somogy County.
  • B. Veszprém
    Veszprém is a historic city in western Hungary known for its medieval castle district and role as a regional cultural and administrative center.
  • C. Pozsony
    Pozsony is the historical Hungarian name for the city now known as Bratislava, the capital of Slovakia.
  • D. Szeged
    Szeged is a prominent city in southern Hungary known for its university, paprika production, and distinctive Art Nouveau architecture.
  • E. Székesfehérvár
    Székesfehérvár is a historic city in central Hungary that served as a medieval royal seat and coronation site for Hungarian kings.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kolozsvár
Triple: [Abraham Wald, placeOfBirth, Kolozsvár]
Generated description
Kolozsvár, known today as Cluj-Napoca, is a major historical and cultural city in Transylvania, Romania, with a significant Hungarian heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kolozsvár
Target entity description: Kolozsvár, known today as Cluj-Napoca, is a major historical and cultural city in Transylvania, Romania, with a significant Hungarian heritage.
  • A. Kaposvár
    Kaposvár is a city in southwestern Hungary that serves as the administrative and cultural center of Somogy County.
  • B. Veszprém
    Veszprém is a historic city in western Hungary known for its medieval castle district and role as a regional cultural and administrative center.
  • C. Pozsony
    Pozsony is the historical Hungarian name for the city now known as Bratislava, the capital of Slovakia.
  • D. Szeged
    Szeged is a prominent city in southern Hungary known for its university, paprika production, and distinctive Art Nouveau architecture.
  • E. Székesfehérvár
    Székesfehérvár is a historic city in central Hungary that served as a medieval royal seat and coronation site for Hungarian kings.
  • F. None of above. chosen

Provenance (5 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb18f10e48190b2f8c64c42cc55f3 completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3042bdf08190bf43c9246fcc114e completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae30e0411c81908cd19bf8d3525056 completed March 9, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69ae31849d7c8190a4e3c90334bf21a5 completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:35 p.m.