Triple

T20655873
Position Surface form Disambiguated ID Type / Status
Subject Osijek-Baranja County E507624 entity
Predicate containsTown P847 FINISHED
Object Valpovo
Valpovo is a small historic town in eastern Croatia known for its medieval castle complex and location along the Drava River.
E1447595 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: Valpovo | Statement: [Osijek-Baranja County, containsTown, Valpovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valpovo
Context triple: [Osijek-Baranja County, containsTown, Valpovo]
  • A. Volodarsk
    Volodarsk is a town in Nizhny Novgorod Oblast, Russia, known for its location along the Klyazma River and its industrial character.
  • B. Pestovo
    Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
  • C. Kudrovo
    Kudrovo is a rapidly growing suburban town on the eastern outskirts of Saint Petersburg, Russia, known for its dense residential developments and proximity to the city.
  • D. Pleskov
    Pleskov is an alternative historical or variant name for the Russian city of Pskov, a historic regional center in northwestern Russia.
  • E. Lyudinovo
    Lyudinovo is an industrial town in western Russia known for its engineering and manufacturing sectors.
  • 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: Valpovo
Triple: [Osijek-Baranja County, containsTown, Valpovo]
Generated description
Valpovo is a small historic town in eastern Croatia known for its medieval castle complex and location along the Drava River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Valpovo
Target entity description: Valpovo is a small historic town in eastern Croatia known for its medieval castle complex and location along the Drava River.
  • A. Volodarsk
    Volodarsk is a town in Nizhny Novgorod Oblast, Russia, known for its location along the Klyazma River and its industrial character.
  • B. Pestovo
    Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
  • C. Kudrovo
    Kudrovo is a rapidly growing suburban town on the eastern outskirts of Saint Petersburg, Russia, known for its dense residential developments and proximity to the city.
  • D. Pleskov
    Pleskov is an alternative historical or variant name for the Russian city of Pskov, a historic regional center in northwestern Russia.
  • E. Lyudinovo
    Lyudinovo is an industrial town in western Russia known for its engineering and manufacturing sectors.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2ed48308190b9350a323b9a7952 completed April 20, 2026, 11:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08e0430ea48190b0ce649e7675c965 completed May 16, 2026, 9:23 p.m.
NEDg Description generation batch_6a08e3c71e308190a3083985274e6af5 completed May 16, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_6a08e43291f48190bd8966ac2b8df38f completed May 16, 2026, 9:40 p.m.
Created at: April 16, 2026, 11:43 a.m.