Triple

T27022280
Position Surface form Disambiguated ID Type / Status
Subject Katowice Ligota railway station E680696 entity
Predicate railwayLine P848 FINISHED
Object Katowice–Rybnik railway line
The Katowice–Rybnik railway line is a key rail route in southern Poland connecting the major urban and industrial centers of Katowice and Rybnik within the Silesian region.
 E1759084 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: Katowice–Rybnik railway line | Statement: [Katowice Ligota railway station, railwayLine, Katowice–Rybnik railway line]
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: Katowice–Rybnik railway line
Triple: [Katowice Ligota railway station, railwayLine, Katowice–Rybnik railway line]
Generated description
The Katowice–Rybnik railway line is a key rail route in southern Poland connecting the major urban and industrial centers of Katowice and Rybnik within the Silesian 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_69eeeb5450988190bfc9a3c012ac463a completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f62205ac90819084127592f04b9aaa completed May 2, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12536a22048190b62bc64001f4dc20 completed May 24, 2026, 1:24 a.m.
NEDg Description generation batch_6a125433c0288190ab1e54c3d763468d completed May 24, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_6a1254fc697c8190baf4f8adefcea4d2 completed May 24, 2026, 1:31 a.m.
Created at: April 27, 2026, 7:09 a.m.