Triple

T33274966
Position Surface form Disambiguated ID Type / Status
Subject Slovak railway network E851880 entity
Predicate includesLine P2124 FINISHED
Object Bratislava–Žilina line
The Bratislava–Žilina line is a major Slovak railway corridor connecting the capital Bratislava with the important northern city of Žilina, serving as a key route for both passenger and freight transport.
E2055175 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: Bratislava–Žilina line | Statement: [Slovak railway network, includesLine, Bratislava–Žilina 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: Bratislava–Žilina line
Triple: [Slovak railway network, includesLine, Bratislava–Žilina line]
Generated description
The Bratislava–Žilina line is a major Slovak railway corridor connecting the capital Bratislava with the important northern city of Žilina, serving as a key route for both 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_69f349653da08190819876015a298fdb completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6de4225b08190a02caa4b1da47523 completed May 3, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35a65890ac8190bd0ecabd3ba64c76 completed June 19, 2026, 8:28 p.m.
NEDg Description generation batch_6a35a756f1c88190b874423458d1862f 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, 1:32 a.m.