Triple

T19991358
Position Surface form Disambiguated ID Type / Status
Subject Lower Styria E494071 entity
Predicate containsTown P847 FINISHED
Object Žalec
Žalec is a town in eastern Slovenia known for its hop-growing tradition and as a local administrative and cultural center.
 E1405241 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: Žalec | Statement: [Lower Styria, containsTown, Žalec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Žalec
Context triple: [Lower Styria, containsTown, Žalec]
  • A. Jinci
    Jinci is an ancient temple complex near Taiyuan in Shanxi, China, renowned for its historic architecture, sacred springs, and richly decorated wooden halls.
  • B. Željo
    Željo is the popular nickname of FK Željezničar Sarajevo, one of Bosnia and Herzegovina’s most successful and historically significant football clubs.
  • C. Želary
    Želary is a 2003 Czech historical drama film, based on Květa Legátová’s stories, about a Prague nurse hiding in a remote mountain village during World War II.
  • D. Žakanje
    Žakanje is a small municipality and village located in Karlovac County in central Croatia, near the Slovenian border.
  • E. Sudylkiv
    Sudylkiv is a village in Ukraine, historically part of the Russian Empire, known as the birthplace of Yiddish theater actor and director Maurice Schwartz.
  • 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: Žalec
Triple: [Lower Styria, containsTown, Žalec]
Generated description
Žalec is a town in eastern Slovenia known for its hop-growing tradition and as a local administrative and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Žalec
Target entity description: Žalec is a town in eastern Slovenia known for its hop-growing tradition and as a local administrative and cultural center.
  • A. Jinci
    Jinci is an ancient temple complex near Taiyuan in Shanxi, China, renowned for its historic architecture, sacred springs, and richly decorated wooden halls.
  • B. Željo
    Željo is the popular nickname of FK Željezničar Sarajevo, one of Bosnia and Herzegovina’s most successful and historically significant football clubs.
  • C. Želary
    Želary is a 2003 Czech historical drama film, based on Květa Legátová’s stories, about a Prague nurse hiding in a remote mountain village during World War II.
  • D. Žakanje
    Žakanje is a small municipality and village located in Karlovac County in central Croatia, near the Slovenian border.
  • E. Sudylkiv
    Sudylkiv is a village in Ukraine, historically part of the Russian Empire, known as the birthplace of Yiddish theater actor and director Maurice Schwartz.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe00b908190bda6b9a3a3281ec0 completed April 20, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080503f1bc8190b71f6d7043ac6593 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a0806563e1c8190b702fcfc009c84d5 completed May 16, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0806e876c881909f0c30e5dd16ce20 completed May 16, 2026, 5:55 a.m.
Created at: April 11, 2026, 3:31 p.m.