Triple

T13353799
Position Surface form Disambiguated ID Type / Status
Subject Gyula Andrássy E318134 entity
Predicate deathPlace P21 FINISHED
Object Volosko
Volosko is a historic coastal village and former fishing port on the Adriatic Sea, now part of the town of Opatija in western Croatia.
E1037523 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: Volosko | Statement: [Gyula Andrássy, deathPlace, Volosko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volosko
Context triple: [Gyula Andrássy, deathPlace, Volosko]
  • A. Černilov
    Černilov is a municipality and village in the Hradec Králové Region of the Czech Republic, known for its rural character and proximity to the city of Hradec Králové.
  • B. Slavgorod
    Slavgorod is a town in eastern Belarus known for its location near the Sozh River and its historical and regional significance.
  • C. Znamensk
    Znamensk is a closed town in southern Russia known primarily for serving the nearby Kapustin Yar military rocket launch and development site.
  • D. Volodarsk
    Volodarsk is a town in Nizhny Novgorod Oblast, Russia, known for its location along the Klyazma River and its industrial character.
  • E. Karmanovo
    Karmanovo is a rural village located within the Gagarinsky District of Smolensk Oblast in western Russia.
  • 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: Volosko
Triple: [Gyula Andrássy, deathPlace, Volosko]
Generated description
Volosko is a historic coastal village and former fishing port on the Adriatic Sea, now part of the town of Opatija in western Croatia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Volosko
Target entity description: Volosko is a historic coastal village and former fishing port on the Adriatic Sea, now part of the town of Opatija in western Croatia.
  • A. Černilov
    Černilov is a municipality and village in the Hradec Králové Region of the Czech Republic, known for its rural character and proximity to the city of Hradec Králové.
  • B. Slavgorod
    Slavgorod is a town in eastern Belarus known for its location near the Sozh River and its historical and regional significance.
  • C. Znamensk
    Znamensk is a closed town in southern Russia known primarily for serving the nearby Kapustin Yar military rocket launch and development site.
  • D. Volodarsk
    Volodarsk is a town in Nizhny Novgorod Oblast, Russia, known for its location along the Klyazma River and its industrial character.
  • E. Karmanovo
    Karmanovo is a rural village located within the Gagarinsky District of Smolensk Oblast in western Russia.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8d520881908aa23c7102b72b72 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f72675c87c8190b26991b55092c444 completed May 3, 2026, 10:41 a.m.
NEDg Description generation batch_69f727512c94819091985c7942f40b31 completed May 3, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_69f72b77d650819092c02f6488b2cfb2 completed May 3, 2026, 11:03 a.m.
Created at: April 9, 2026, 9:32 p.m.