Triple

T10216977
Position Surface form Disambiguated ID Type / Status
Subject Princess Louise of Belgium E242469 entity
Predicate residence P75 FINISHED
Object Oroszvár
Oroszvár is a historic locality in present-day western Slovakia (now part of Rusovce, a borough of Bratislava) known in part as a former residence of Princess Louise of Belgium.
 E965189 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: Oroszvár | Statement: [Princess Louise of Belgium, residence, Oroszvár]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oroszvár
Context triple: [Princess Louise of Belgium, residence, Oroszvár]
  • A. Gyulafehérvár
    Gyulafehérvár, known today as Alba Iulia in Romania, is a historic city that served as the political and cultural center of Transylvania for centuries.
  • B. Harkány
    Harkány is a Hungarian spa town in southern Transdanubia renowned for its medicinal thermal baths and health tourism.
  • C. Pécsvárad
    Pécsvárad is a small historic town in southern Hungary known for its medieval abbey and scenic setting near the Mecsek Mountains.
  • D. Herceghalom
    Herceghalom is a small village in Fejér County, Hungary, situated in the central Transdanubian region.
  • E. Kaposvár
    Kaposvár is a city in southwestern Hungary that serves as the administrative and cultural center of Somogy County.
  • 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: Oroszvár
Triple: [Princess Louise of Belgium, residence, Oroszvár]
Generated description
Oroszvár is a historic locality in present-day western Slovakia (now part of Rusovce, a borough of Bratislava) known in part as a former residence of Princess Louise of Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oroszvár
Target entity description: Oroszvár is a historic locality in present-day western Slovakia (now part of Rusovce, a borough of Bratislava) known in part as a former residence of Princess Louise of Belgium.
  • A. Gyulafehérvár
    Gyulafehérvár, known today as Alba Iulia in Romania, is a historic city that served as the political and cultural center of Transylvania for centuries.
  • B. Harkány
    Harkány is a Hungarian spa town in southern Transdanubia renowned for its medicinal thermal baths and health tourism.
  • C. Pécsvárad
    Pécsvárad is a small historic town in southern Hungary known for its medieval abbey and scenic setting near the Mecsek Mountains.
  • D. Herceghalom
    Herceghalom is a small village in Fejér County, Hungary, situated in the central Transdanubian region.
  • E. Kaposvár
    Kaposvár is a city in southwestern Hungary that serves as the administrative and cultural center of Somogy County.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa6e544c8190961cdd7f1fbe24e6 completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f62d41448190ab65fb9c81d4d673 completed May 2, 2026, 1:03 p.m.
NEDg Description generation batch_69f600b51f488190a85a8f10f190b3c0 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601ebaa448190ba59485d9d7d68d1 completed May 2, 2026, 1:53 p.m.
Created at: April 6, 2026, 11:06 a.m.