Triple

T21669915
Position Surface form Disambiguated ID Type / Status
Subject Chrysler Laser E534817 entity
Predicate trimLevel P11486 FINISHED
Object XT
XT is a higher-end trim level of the Chrysler Laser sports hatchback, featuring upgraded equipment and performance-oriented options.
 E1495823 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: XT | Statement: [Chrysler Laser, trimLevel, XT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XT
Context triple: [Chrysler Laser, trimLevel, XT]
  • A. CX
    CX is the two-letter IATA airline designator used to identify Cathay Pacific in global aviation systems.
  • B. CX
    CX is a base trim level designation used by Buick for the Rendezvous crossover SUV, typically indicating a more entry-level configuration with standard features.
  • C. XM
    XM is the IATA airline designator assigned to J-Air, a regional commuter airline based in Japan and affiliated with Japan Airlines.
  • D. XNT
    XNT is the IATA airport code assigned to Nice-Ville railway station in Nice, France, for use in air-rail and travel booking systems.
  • E. SX
    SX is the two-letter ISO 3166-1 alpha-2 country code assigned to Sint Maarten, a constituent country of the Kingdom of the Netherlands in the Caribbean.
  • 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: XT
Triple: [Chrysler Laser, trimLevel, XT]
Generated description
XT is a higher-end trim level of the Chrysler Laser sports hatchback, featuring upgraded equipment and performance-oriented options.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XT
Target entity description: XT is a higher-end trim level of the Chrysler Laser sports hatchback, featuring upgraded equipment and performance-oriented options.
  • A. CX
    CX is the two-letter IATA airline designator used to identify Cathay Pacific in global aviation systems.
  • B. CX
    CX is a base trim level designation used by Buick for the Rendezvous crossover SUV, typically indicating a more entry-level configuration with standard features.
  • C. XM
    XM is the IATA airline designator assigned to J-Air, a regional commuter airline based in Japan and affiliated with Japan Airlines.
  • D. XNT
    XNT is the IATA airport code assigned to Nice-Ville railway station in Nice, France, for use in air-rail and travel booking systems.
  • E. SX
    SX is the two-letter ISO 3166-1 alpha-2 country code assigned to Sint Maarten, a constituent country of the Kingdom of the Netherlands in the Caribbean.
  • 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a0a9b4481909477245d53f99cb0 completed April 27, 2026, 4:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a15a57e2081909dae14d826f0f9a9 completed May 17, 2026, 7:23 p.m.
NEDg Description generation batch_6a0a16ac5ee881909ede61c149be61fa completed May 17, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_6a0a17d9a48881908d9858e40d41674c completed May 17, 2026, 7:32 p.m.
Created at: April 16, 2026, 6:37 p.m.