Triple

T20791362
Position Surface form Disambiguated ID Type / Status
Subject Požega-Slavonia County E511784 entity
Predicate hasMunicipality P847 FINISHED
Object Kaptol
Kaptol is a small municipality and settlement in eastern Croatia known for its rural character and location within the historical region of Slavonia.
 E1451110 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: Kaptol | Statement: [Požega-Slavonia County, hasMunicipality, Kaptol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaptol
Context triple: [Požega-Slavonia County, hasMunicipality, Kaptol]
  • A. Capito
    Capito is a surname most notably associated with Wolfgang Capito, a prominent German reformer and theologian of the Protestant Reformation.
  • B. Senica
    Senica is a town in western Slovakia known as an industrial and administrative center within the Trnava Region.
  • C. Kierling
    Kierling is a small locality in Lower Austria best known as the place where writer Franz Kafka spent his final days and died.
  • D. Kahana
    Kahana is a variant form of the Jewish surname Cohen, often used in Ashkenazi communities.
  • E. Skopia
    Skopia is a small settlement located within the Municipality of Florina in northern Greece, near the country’s border region with North Macedonia.
  • 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: Kaptol
Triple: [Požega-Slavonia County, hasMunicipality, Kaptol]
Generated description
Kaptol is a small municipality and settlement in eastern Croatia known for its rural character and location within the historical region of Slavonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaptol
Target entity description: Kaptol is a small municipality and settlement in eastern Croatia known for its rural character and location within the historical region of Slavonia.
  • A. Capito
    Capito is a surname most notably associated with Wolfgang Capito, a prominent German reformer and theologian of the Protestant Reformation.
  • B. Senica
    Senica is a town in western Slovakia known as an industrial and administrative center within the Trnava Region.
  • C. Kierling
    Kierling is a small locality in Lower Austria best known as the place where writer Franz Kafka spent his final days and died.
  • D. Kahana
    Kahana is a variant form of the Jewish surname Cohen, often used in Ashkenazi communities.
  • E. Skopia
    Skopia is a small settlement located within the Municipality of Florina in northern Greece, near the country’s border region with North Macedonia.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c29010508190bf2cf577d7f64754 completed April 21, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08f8bc76508190b65a105fcd4decd1 completed May 16, 2026, 11:07 p.m.
NEDg Description generation batch_6a08f9c9314c81909052d1a2e93d740a completed May 16, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_6a08fa7040d88190b592d4f46249c2c1 completed May 16, 2026, 11:14 p.m.
Created at: April 16, 2026, 12:38 p.m.