Triple

T13288353
Position Surface form Disambiguated ID Type / Status
Subject Armstrong 500 E316499 entity
Predicate sponsor P67 FINISHED
Object Armstrong shock absorbers
Armstrong shock absorbers is an automotive components brand known for manufacturing vehicle suspension shock absorbers and for its historic involvement in motorsport sponsorship.
 E1033010 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: Armstrong shock absorbers | Statement: [Armstrong 500, sponsor, Armstrong shock absorbers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Armstrong shock absorbers
Context triple: [Armstrong 500, sponsor, Armstrong shock absorbers]
  • A. Eibach
    Eibach is a small stream in Switzerland that serves as a tributary of the Ergolz River.
  • B. Eibach
    Eibach is a village and district of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
  • C. Dunlop
    Dunlop is a residential suburb in the Belconnen district of Canberra, in the Australian Capital Territory.
  • D. Dunlop
    Dunlop is a well-known tire manufacturer that produces high-performance motorcycle and automotive tires used in both professional racing and everyday driving.
  • E. Brembo
    Brembo is a river in northern Italy that flows through the Lombardy region before joining the Adda River.
  • 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: Armstrong shock absorbers
Triple: [Armstrong 500, sponsor, Armstrong shock absorbers]
Generated description
Armstrong shock absorbers is an automotive components brand known for manufacturing vehicle suspension shock absorbers and for its historic involvement in motorsport sponsorship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Armstrong shock absorbers
Target entity description: Armstrong shock absorbers is an automotive components brand known for manufacturing vehicle suspension shock absorbers and for its historic involvement in motorsport sponsorship.
  • A. Eibach
    Eibach is a small stream in Switzerland that serves as a tributary of the Ergolz River.
  • B. Eibach
    Eibach is a village and district of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
  • C. Dunlop
    Dunlop is a residential suburb in the Belconnen district of Canberra, in the Australian Capital Territory.
  • D. Dunlop
    Dunlop is a well-known tire manufacturer that produces high-performance motorcycle and automotive tires used in both professional racing and everyday driving.
  • E. Brembo
    Brembo is a river in northern Italy that flows through the Lombardy region before joining the Adda River.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99076aeec8190b0cb883ab60d3f6b completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d4a6f48190a2020e11e887be2e completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717b7b6dc8190ab323c1926dd9adb completed May 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69f7186b6218819096c67e9dd9af609f completed May 3, 2026, 9:42 a.m.
Created at: April 9, 2026, 9:27 p.m.