Triple

T23655794
Position Surface form Disambiguated ID Type / Status
Subject Hopfgarten im Brixental E584294 entity
Predicate hasRailwayStationOn P72542 FINISHED
Object Wörgl–Kitzbühel railway line
The Wörgl–Kitzbühel railway line is an Austrian regional rail route running through the Tyrol region, connecting the town of Wörgl with the Alpine resort area around Kitzbühel.
E1599740 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: Wörgl–Kitzbühel railway line | Statement: [Hopfgarten im Brixental, hasRailwayStationOn, Wörgl–Kitzbühel 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: Wörgl–Kitzbühel railway line
Triple: [Hopfgarten im Brixental, hasRailwayStationOn, Wörgl–Kitzbühel railway line]
Generated description
The Wörgl–Kitzbühel railway line is an Austrian regional rail route running through the Tyrol region, connecting the town of Wörgl with the Alpine resort area around Kitzbühel.

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_69e248ffc0888190ae23c4731eb8b7ac completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b35b19e48190866a19ed8b7086d0 completed April 29, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f53a1a34481909919688f9222f9eb completed May 21, 2026, 6:49 p.m.
NEDg Description generation batch_6a0f54af0b108190a7c3e0ac0f48aabf completed May 21, 2026, 6:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0f5587b89481908744d12128349956 completed May 21, 2026, 6:57 p.m.
Created at: April 17, 2026, 6:49 p.m.