Triple

T29951830
Position Surface form Disambiguated ID Type / Status
Subject Škoda Auto Laurin & Klement trim line E760787 entity
Predicate offeredOnModel P17976 FINISHED
Object Škoda Octavia
The Škoda Octavia is a popular compact family car produced by Czech manufacturer Škoda Auto, known for its practicality, spacious interior, and value-oriented positioning in global markets.
E1897809 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: Škoda Octavia | Statement: [Škoda Auto Laurin & Klement trim line, offeredOnModel, Škoda Octavia]
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: Škoda Octavia
Triple: [Škoda Auto Laurin & Klement trim line, offeredOnModel, Škoda Octavia]
Generated description
The Škoda Octavia is a popular compact family car produced by Czech manufacturer Škoda Auto, known for its practicality, spacious interior, and value-oriented positioning in global markets.

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_69f2246562b881909d57622f4086d43d completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6783586948190bbb1d9f27fba961a completed May 2, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27321cc74c819092a60b1168e57286 completed June 8, 2026, 9:20 p.m.
NEDg Description generation batch_6a2733f85e48819099e1ef28db16c74b completed June 8, 2026, 9:28 p.m.
NED2 Entity disambiguation (via description) batch_6a27345a890081909105c3d28808ec16 completed June 8, 2026, 9:30 p.m.
Created at: April 29, 2026, 6:26 p.m.