Triple

T30568108
Position Surface form Disambiguated ID Type / Status
Subject northwestern Slovakia E778043 entity
Predicate contains P35 FINISHED
Object city of Čadca
The city of Čadca is a regional center in northern Slovakia near the borders with the Czech Republic and Poland, known for its role as a transport hub and gateway to the Kysuce region.
E1922257 NE FINISHED

How this triple was built (2 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: city of Čadca | Statement: [northwestern Slovakia, contains, city of Čadca]
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: city of Čadca
Triple: [northwestern Slovakia, contains, city of Čadca]
Generated description
The city of Čadca is a regional center in northern Slovakia near the borders with the Czech Republic and Poland, known for its role as a transport hub and gateway to the Kysuce region.

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_69f2249f8c148190ae7eb3912cde112a completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f689108d448190ba08a76cfaea85ce completed May 2, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2856fdda54819090649a2625e4b713 completed June 9, 2026, 6:10 p.m.
NEDg Description generation batch_6a2858941f488190b44e942eed9a57e6 completed June 9, 2026, 6:16 p.m.
NED2 Entity disambiguation (via description) batch_6a28593b6d588190ac80f643ecd8efeb completed June 9, 2026, 6:19 p.m.
Created at: April 29, 2026, 8:21 p.m.