Triple

T644010
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz E11202 entity
Predicate notableModelSeries P1503 FINISHED
Object GLC
The GLC is a compact luxury crossover SUV produced by Mercedes-Benz, positioned as one of the brand’s core premium utility vehicles.
 E80438 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: GLC | Statement: [Mercedes-Benz, notableModelSeries, GLC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GLC
Context triple: [Mercedes-Benz, notableModelSeries, GLC]
  • A. GLC
    GLC is the National Rail station code for Glasgow Central, a major railway terminus in Glasgow, Scotland.
  • B. GLC
    GLC is a Chicago-based rapper and longtime Kanye West collaborator known for his appearances on early Kanye albums and his affiliation with the G.O.O.D. Music collective.
  • C. GLT
    GLT is the National Rail station code for Glenrothes with Thornton railway station in Fife, Scotland.
  • D. glo
    glo is a heated tobacco product brand developed by British American Tobacco as an alternative to traditional cigarettes.
  • E. SCL
    SCL (Substation Configuration Language) is an XML-based language defined by the IEC 61850 standard for modeling, configuring, and exchanging data about electrical substations and their automation systems.
  • 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: GLC
Triple: [Mercedes-Benz, notableModelSeries, GLC]
Generated description
The GLC is a compact luxury crossover SUV produced by Mercedes-Benz, positioned as one of the brand’s core premium utility vehicles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GLC
Target entity description: The GLC is a compact luxury crossover SUV produced by Mercedes-Benz, positioned as one of the brand’s core premium utility vehicles.
  • A. GLC
    GLC is the National Rail station code for Glasgow Central, a major railway terminus in Glasgow, Scotland.
  • B. GLC
    GLC is a Chicago-based rapper and longtime Kanye West collaborator known for his appearances on early Kanye albums and his affiliation with the G.O.O.D. Music collective.
  • C. GLT
    GLT is the National Rail station code for Glenrothes with Thornton railway station in Fife, Scotland.
  • D. glo
    glo is a heated tobacco product brand developed by British American Tobacco as an alternative to traditional cigarettes.
  • E. SCL
    SCL (Substation Configuration Language) is an XML-based language defined by the IEC 61850 standard for modeling, configuring, and exchanging data about electrical substations and their automation systems.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f18216081908331aa12dac40214 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5779084d08190bfd360f4d45fb9a6 completed March 2, 2026, 11:42 a.m.
NEDg Description generation batch_69a577f1f8748190aa9bc10403e05977 completed March 2, 2026, 11:43 a.m.
NED2 Entity disambiguation (via description) batch_69a578cdb50881908a9a93b3933810f3 completed March 2, 2026, 11:47 a.m.
Created at: March 1, 2026, 7:36 p.m.