Triple

T33524560
Position Surface form Disambiguated ID Type / Status
Subject Khmelnytskyi railway station E858601 entity
Predicate connectsTo P845 FINISHED
Object Khmelnytskyi–Lviv railway line
The Khmelnytskyi–Lviv railway line is a major rail route in western Ukraine that links the city of Khmelnytskyi with Lviv, serving as an important corridor for regional passenger and freight transport.
E2055340 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–Lviv railway line | Statement: [Khmelnytskyi railway station, connectsTo, Khmelnytskyi–Lviv 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–Lviv railway line
Triple: [Khmelnytskyi railway station, connectsTo, Khmelnytskyi–Lviv railway line]
Generated description
The Khmelnytskyi–Lviv railway line is a major rail route in western Ukraine that links the city of Khmelnytskyi with Lviv, serving as an important corridor for regional 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_6a35a67b06b48190bb426eb96e890bc5 completed June 19, 2026, 8:28 p.m.
NEDg Description generation batch_6a35a74280e481908a5e8d58159ccf14 completed June 19, 2026, 8:32 p.m.
NED2 Entity disambiguation (via description) batch_6a35a7e144548190908e3e6ddf96362a completed June 19, 2026, 8:34 p.m.
Created at: May 1, 2026, 1:39 a.m.