Triple

T2561152
Position Surface form Disambiguated ID Type / Status
Subject Southern Slovakia E57242 entity
Predicate containsCity P294 FINISHED
Object Veľký Krtíš
Veľký Krtíš is a small town in southern Slovakia known as an administrative and economic center of the surrounding wine-growing and agricultural region.
E278182 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: Veľký Krtíš | Statement: [Southern Slovakia, containsCity, Veľký Krtíš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veľký Krtíš
Context triple: [Southern Slovakia, containsCity, Veľký Krtíš]
  • A. Svitava
    Svitava is a river in the Czech Republic that flows through the city of Brno and is one of its main waterways.
  • B. Kralupy nad Vltavou
    Kralupy nad Vltavou is a town in the Czech Republic situated on the Vltava River, known for its chemical industry and role as a regional transport hub.
  • C. Koshice
    Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
  • D. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • E. Čáslav
    Čáslav is a historic town in the Czech Republic known for its medieval architecture and location in the fertile Elbe lowlands.
  • 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: Veľký Krtíš
Triple: [Southern Slovakia, containsCity, Veľký Krtíš]
Generated description
Veľký Krtíš is a small town in southern Slovakia known as an administrative and economic center of the surrounding wine-growing and agricultural region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Veľký Krtíš
Target entity description: Veľký Krtíš is a small town in southern Slovakia known as an administrative and economic center of the surrounding wine-growing and agricultural region.
  • A. Svitava
    Svitava is a river in the Czech Republic that flows through the city of Brno and is one of its main waterways.
  • B. Kralupy nad Vltavou
    Kralupy nad Vltavou is a town in the Czech Republic situated on the Vltava River, known for its chemical industry and role as a regional transport hub.
  • C. Koshice
    Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
  • D. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • E. Čáslav
    Čáslav is a historic town in the Czech Republic known for its medieval architecture and location in the fertile Elbe lowlands.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd336183c819084ed7de8ccc4c548 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d233dbc81909feb1127cffb027f completed March 9, 2026, 11:52 p.m.
NEDg Description generation batch_69af60e78b488190bdd01ee77ed3648b completed March 10, 2026, 12:08 a.m.
NED2 Entity disambiguation (via description) batch_69af614ad2408190955c430cb7a7e302 completed March 10, 2026, 12:09 a.m.
Created at: March 6, 2026, 9:48 p.m.