Triple

T33524561
Position Surface form Disambiguated ID Type / Status
Subject Khmelnytskyi railway station E858601 entity
Predicate connectsTo P845 FINISHED
Object Khmelnytskyi–Kyiv railway line
The Khmelnytskyi–Kyiv railway line is a major rail route in Ukraine linking the western city of Khmelnytskyi with the capital, Kyiv, and serving as an important corridor for passenger and freight transport.
E2058383 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: Khmelnytskyi–Kyiv railway line | Statement: [Khmelnytskyi railway station, connectsTo, Khmelnytskyi–Kyiv 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: Khmelnytskyi–Kyiv railway line
Triple: [Khmelnytskyi railway station, connectsTo, Khmelnytskyi–Kyiv railway line]
Generated description
The Khmelnytskyi–Kyiv railway line is a major rail route in Ukraine linking the western city of Khmelnytskyi with the capital, Kyiv, and serving as an important corridor for passenger and freight transport.

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_69f349781c6c819082c516b260efe7e2 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f69e16088190be245b047637edd9 completed May 3, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35afc942ac819094ac5c5a6f08756c completed June 19, 2026, 9:08 p.m.
NEDg Description generation batch_6a35b03c57c48190a4a43b218def8137 completed June 19, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_6a35b0a14cbc8190b363bd1ae4f70710 completed June 19, 2026, 9:12 p.m.
Created at: May 1, 2026, 1:39 a.m.