Triple

T1128686
Position Surface form Disambiguated ID Type / Status
Subject Bellevue, Washington E24777 entity
Predicate hasMajorEmployer P588 FINISHED
Object PACCAR
PACCAR is a major American manufacturer of commercial trucks and related heavy-duty vehicles headquartered in Bellevue, Washington.
 E129877 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: PACCAR | Statement: [Bellevue, Washington, hasMajorEmployer, PACCAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PACCAR
Context triple: [Bellevue, Washington, hasMajorEmployer, PACCAR]
  • A. Western Star
    Western Star was a named passenger train of the Great Northern Railway that provided long-distance service across the northern United States.
  • B. AM General
    AM General is an American heavy vehicle manufacturer best known for developing the military Humvee and its civilian counterpart, the Hummer.
  • C. PSA Group
    PSA Group was a major French automotive manufacturer best known for producing Peugeot, Citroën, and DS vehicles before merging to form Stellantis.
  • D. Scania
    Scania is a Swedish manufacturer renowned for its heavy trucks, buses, and industrial and marine engines.
  • E. Penske Automotive Group
    Penske Automotive Group is a large international transportation services company and one of the world’s leading automotive and commercial truck retailers.
  • 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: PACCAR
Triple: [Bellevue, Washington, hasMajorEmployer, PACCAR]
Generated description
PACCAR is a major American manufacturer of commercial trucks and related heavy-duty vehicles headquartered in Bellevue, Washington.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PACCAR
Target entity description: PACCAR is a major American manufacturer of commercial trucks and related heavy-duty vehicles headquartered in Bellevue, Washington.
  • A. Western Star
    Western Star was a named passenger train of the Great Northern Railway that provided long-distance service across the northern United States.
  • B. AM General
    AM General is an American heavy vehicle manufacturer best known for developing the military Humvee and its civilian counterpart, the Hummer.
  • C. PSA Group
    PSA Group was a major French automotive manufacturer best known for producing Peugeot, Citroën, and DS vehicles before merging to form Stellantis.
  • D. Scania
    Scania is a Swedish manufacturer renowned for its heavy trucks, buses, and industrial and marine engines.
  • E. Penske Automotive Group
    Penske Automotive Group is a large international transportation services company and one of the world’s leading automotive and commercial truck retailers.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbdea9b88190a88da718bf5c1897 completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59a82bb8819084f77aff9af653c0 completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5a97f1408190855d8ea4f4317b07 completed March 7, 2026, 5:04 p.m.
NED2 Entity disambiguation (via description) batch_69ac5b1b5930819098f511db269e991d completed March 7, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:44 p.m.