Triple

T29971427
Position Surface form Disambiguated ID Type / Status
Subject Svitava River E761327 entity
Predicate hasRailwayAlongValley P55241 FINISHED
Object Brno–Česká Třebová railway line
The Brno–Česká Třebová railway line is a major rail corridor in the Czech Republic that connects the city of Brno with Česká Třebová and forms part of an important international transit route.
 E1894944 NE FINISHED

How this triple was built (3 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: Brno–Česká Třebová railway line | Statement: [Svitava River, hasRailwayAlongValley, Brno–Česká Třebová 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: Brno–Česká Třebová railway line
Triple: [Svitava River, hasRailwayAlongValley, Brno–Česká Třebová railway line]
Generated description
The Brno–Česká Třebová railway line is a major rail corridor in the Czech Republic that connects the city of Brno with Česká Třebová and forms part of an important international transit route.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasRailwayAlongValley
Context triple: [Svitava River, hasRailwayAlongValley, Brno–Česká Třebová railway line]
  • A. hasValleyRailLine chosen
    Indicates that a location or region is traversed or served by a railway line running through a valley.
  • B. gorgeTraversedByRailway
    Indicates that a railway line passes through or across the gorge.
  • C. railwayRunsAlong
    Indicates that a railway line extends parallel to and in close proximity with another feature or route for a significant distance.
  • D. hasMountainRailwayConnectionTo
    Indicates that there is a railway line specifically adapted for mountainous terrain that connects one location to another.
  • E. hasHeadOfValleyNear
    Indicates that the head (uppermost part) of a valley is located near a specified reference feature or entity.
  • F. None of above.

Provenance (6 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_69f22467626081908d5afea489590e96 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f7516d5b4081908588a6feb541f355 completed May 3, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2721f7d76c8190bf84967f345b7334 completed June 8, 2026, 8:11 p.m.
NEDg Description generation batch_6a2722c1fef08190bc0a58382ea0b6ce completed June 8, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_6a2725dc8a3c8190b5a206224edfbba0 completed June 8, 2026, 8:28 p.m.
PD Predicate disambiguation batch_69f74d40ebb081909daf60623e38f41d completed May 3, 2026, 1:27 p.m.
Created at: April 29, 2026, 6:32 p.m.