Triple

T644015
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz E11202 entity
Predicate notableModelSeries P1503 FINISHED
Object CLS
The Mercedes-Benz CLS is a luxury four-door coupé known for pioneering the modern coupé-sedan design with sleek styling and high-end performance.
 E80917 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: CLS | Statement: [Mercedes-Benz, notableModelSeries, CLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CLS
Context triple: [Mercedes-Benz, notableModelSeries, CLS]
  • A. CLA
    The Mercedes-Benz CLA is a compact luxury four-door coupé known for its sleek styling, advanced technology, and entry-level positioning within the brand’s lineup.
  • B. CLST
    CLST is the daylight saving time zone used in Chile during the southern hemisphere summer months.
  • C. .cl
    .cl is the country code top-level domain (ccTLD) assigned to Chile for use on the internet.
  • D. CLIC
    CLIC is a proposed high-energy electron–positron linear collider at CERN designed to explore physics beyond the Standard Model with multi-TeV collisions.
  • E. CLT
    CLT is a fundamental statistical principle stating that the sum or average of many independent, identically distributed random variables tends to follow a normal distribution, regardless of the original distribution.
  • 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: CLS
Triple: [Mercedes-Benz, notableModelSeries, CLS]
Generated description
The Mercedes-Benz CLS is a luxury four-door coupé known for pioneering the modern coupé-sedan design with sleek styling and high-end performance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CLS
Target entity description: The Mercedes-Benz CLS is a luxury four-door coupé known for pioneering the modern coupé-sedan design with sleek styling and high-end performance.
  • A. CLA
    The Mercedes-Benz CLA is a compact luxury four-door coupé known for its sleek styling, advanced technology, and entry-level positioning within the brand’s lineup.
  • B. CLST
    CLST is the daylight saving time zone used in Chile during the southern hemisphere summer months.
  • C. .cl
    .cl is the country code top-level domain (ccTLD) assigned to Chile for use on the internet.
  • D. CLIC
    CLIC is a proposed high-energy electron–positron linear collider at CERN designed to explore physics beyond the Standard Model with multi-TeV collisions.
  • E. CLT
    CLT is a fundamental statistical principle stating that the sum or average of many independent, identically distributed random variables tends to follow a normal distribution, regardless of the original distribution.
  • 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_69a57b5825a08190a528cc2034f2892f completed March 2, 2026, 11:58 a.m.
NEDg Description generation batch_69a57dbe4aa88190ad6d185f8151f85b completed March 2, 2026, 12:08 p.m.
NED2 Entity disambiguation (via description) batch_69a57e3b4d448190bd7f4a6249b7e3a1 completed March 2, 2026, 12:10 p.m.
Created at: March 1, 2026, 7:36 p.m.