Triple

T4239335
Position Surface form Disambiguated ID Type / Status
Subject Vauxhall Viva E94770 entity
Predicate trimLevel P11486 FINISHED
Object SL
SL is a mid-range trim level of the Vauxhall Viva that added extra comfort and cosmetic features over the base model.
 E423536 NE FINISHED

How this triple was built (4 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: SL | Statement: [Vauxhall Viva, trimLevel, SL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SL
Context triple: [Vauxhall Viva, trimLevel, SL]
  • A. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • B. SL
    SL is the vehicle registration code used for the Austrian municipality of Anif in the state of Salzburg.
  • C. SL
    SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
  • D. SL
    SL is the IATA airline designator code assigned to SAS Ireland, a subsidiary carrier of Scandinavian Airlines.
  • E. SL
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: SL
Triple: [Vauxhall Viva, trimLevel, SL]
Generated description
SL is a mid-range trim level of the Vauxhall Viva that added extra comfort and cosmetic features over the base model.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SL
Target entity description: SL is a mid-range trim level of the Vauxhall Viva that added extra comfort and cosmetic features over the base model.
  • A. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • B. SL
    SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
  • C. SL
    SL is the vehicle registration code used for the Austrian municipality of Anif in the state of Salzburg.
  • D. SL
    SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
  • E. SL
    SL is the IATA airline designator code assigned to SAS Ireland, a subsidiary carrier of Scandinavian Airlines.
  • F. None of above. chosen

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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e76b6e0819084d0ce137b5ba74e completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a86c95008190b11832c741a11042 completed March 14, 2026, 6:26 p.m.
NEDg Description generation batch_69b5a983cfd88190b702c420d6dbc201 completed March 14, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69b5aa00bcd88190ad2fba212861c712 completed March 14, 2026, 6:33 p.m.
Created at: March 12, 2026, 11:05 p.m.