Triple

T29750809
Position Surface form Disambiguated ID Type / Status
Subject Jirkov E752887 entity
Predicate locatedNear P294 FINISHED
Object Prague–Chomutov railway corridor
The Prague–Chomutov railway corridor is a major rail line in the Czech Republic that connects the capital city of Prague with the industrial and mining regions around Chomutov in the northwest of the country.
E1882834 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: Prague–Chomutov railway corridor | Statement: [Jirkov, locatedNear, Prague–Chomutov railway corridor]
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: Prague–Chomutov railway corridor
Triple: [Jirkov, locatedNear, Prague–Chomutov railway corridor]
Generated description
The Prague–Chomutov railway corridor is a major rail line in the Czech Republic that connects the capital city of Prague with the industrial and mining regions around Chomutov in the northwest of the country.

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_69f0d62c84cc8190846f80ae04fdf8ec completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f6736ad5e48190bab89c27970a8e74 completed May 2, 2026, 9:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26aa9511488190b76043cd8b962c12 completed June 8, 2026, 11:42 a.m.
NEDg Description generation batch_6a26b5b9f88081908397b3dcaa4f3600 completed June 8, 2026, 12:29 p.m.
NED2 Entity disambiguation (via description) batch_6a26b98d6b14819088d658a7a9678417 completed June 8, 2026, 12:46 p.m.
Created at: April 28, 2026, 7:53 p.m.