Triple

T24048458
Position Surface form Disambiguated ID Type / Status
Subject Stadler Minsk E595586 entity
Predicate locatedOn P40 FINISHED
Object Minsk–Brest railway line
The Minsk–Brest railway line is a major rail corridor in Belarus connecting the capital Minsk with the western city of Brest and forming part of an important international transit route between Eastern and Western Europe.
E1617936 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: Minsk–Brest railway line | Statement: [Stadler Minsk, locatedOn, Minsk–Brest 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: Minsk–Brest railway line
Triple: [Stadler Minsk, locatedOn, Minsk–Brest railway line]
Generated description
The Minsk–Brest railway line is a major rail corridor in Belarus connecting the capital Minsk with the western city of Brest and forming part of an important international transit route between Eastern and Western Europe.

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_69e288c06a908190899cad4531f32c9a completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d9cedaa08190bf54857de1b312ed completed April 29, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f9655be288190acae38412bb46100 completed May 21, 2026, 11:33 p.m.
NEDg Description generation batch_6a0f9802d1bc8190b3f47810e29ef246 completed May 21, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_6a0f992af65c819085d30795965384cb completed May 21, 2026, 11:45 p.m.
Created at: April 17, 2026, 10:18 p.m.