Triple

T6514370
Position Surface form Disambiguated ID Type / Status
Subject Chevrolet Monte Carlo E148215 entity
Predicate notableTrim P25549 FINISHED
Object LT
LT is a mid-level trim designation commonly used by Chevrolet to denote a better-equipped, more comfort- and feature-focused version of its vehicles.
 E603710 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: LT | Statement: [Chevrolet Monte Carlo, notableTrim, LT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LT
Context triple: [Chevrolet Monte Carlo, notableTrim, LT]
  • A. Lt
    Lt is the standard military abbreviation for the commissioned officer rank of Lieutenant in the Australian Army.
  • B. LTN
    LTN is the IATA airport code for London Luton Airport, a major international airport serving the London metropolitan area in the United Kingdom.
  • C. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • D. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • E. LM
    LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
  • 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: LT
Triple: [Chevrolet Monte Carlo, notableTrim, LT]
Generated description
LT is a mid-level trim designation commonly used by Chevrolet to denote a better-equipped, more comfort- and feature-focused version of its vehicles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LT
Target entity description: LT is a mid-level trim designation commonly used by Chevrolet to denote a better-equipped, more comfort- and feature-focused version of its vehicles.
  • A. Lt
    Lt is the standard military abbreviation for the commissioned officer rank of Lieutenant in the Australian Army.
  • B. LTN
    LTN is the IATA airport code for London Luton Airport, a major international airport serving the London metropolitan area in the United Kingdom.
  • C. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • D. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • E. LM
    LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac0bea808190aebc2905fb53eeba completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5125c448190bf47843fcac66efe completed March 27, 2026, 7:05 p.m.
NEDg Description generation batch_69c6d6aba9688190ada4f921768e314e completed March 27, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69c6d82d77388190a3022a2366a5aec7 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:44 p.m.