Triple

T16806416
Position Surface form Disambiguated ID Type / Status
Subject Regal GS E408492 entity
Predicate marketedAs P1395 FINISHED
Object GS
GS is a luxury sedan nameplate used by Lexus, known for its blend of performance, comfort, and premium features.
 E1234850 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: GS | Statement: [Regal GS, marketedAs, GS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GS
Context triple: [Regal GS, marketedAs, GS]
  • A. GS
    GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
  • B. GS
    GS is the vehicle registration code used on license plates for the district of Goslar in Lower Saxony, Germany.
  • C. GS
    GS is the New York Stock Exchange ticker symbol for Goldman Sachs, a leading global investment banking, securities, and asset management firm.
  • D. GS
    GS is the vehicle registration code used on license plates for the town of Gospić in Croatia.
  • E. GS
    GS is the common abbreviation for United Global Services, United Airlines’ invitation-only elite frequent flyer status for its most valuable customers.
  • 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: GS
Triple: [Regal GS, marketedAs, GS]
Generated description
GS is a luxury sedan nameplate used by Lexus, known for its blend of performance, comfort, and premium features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GS
Target entity description: GS is a luxury sedan nameplate used by Lexus, known for its blend of performance, comfort, and premium features.
  • A. GS
    GS is the New York Stock Exchange ticker symbol for Goldman Sachs, a leading global investment banking, securities, and asset management firm.
  • B. GS
    GS is the common abbreviation for United Global Services, United Airlines’ invitation-only elite frequent flyer status for its most valuable customers.
  • C. GS
    GS is the vehicle registration code used on license plates for the town of Gospić in Croatia.
  • D. GS
    GS is the commonly used abbreviation for the School of General Studies, a division of a university that typically offers flexible, interdisciplinary undergraduate programs for nontraditional or returning students.
  • E. GS
    GS is the vehicle registration code used on license plates for the district of Goslar in Lower Saxony, Germany.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2cd1e8c8190a7a05ba255f711c7 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b28f125481909664363904f4c031 completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b399786c8190acbd188ab55b1fa0 completed May 10, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_6a00b466ecd08190b7b5ee54476631ab completed May 10, 2026, 4:37 p.m.
Created at: April 10, 2026, 5:22 a.m.