Triple

T12880084
Position Surface form Disambiguated ID Type / Status
Subject Motorway 65 E308068 entity
Predicate hasAbbreviation P43 FINISHED
Object A65
A65 is a major European motorway designation used for key regional and international road routes.
 E1007835 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: A65 | Statement: [Motorway 65, hasAbbreviation, A65]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A65
Context triple: [Motorway 65, hasAbbreviation, A65]
  • A. A66
    A66 is a major trans-Pennine road in northern England that connects the Lake District with the North East, serving as an important east–west transport route.
  • B. A6
    A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
  • C. A6
    A6 is an alternate name for "Captain Trips," the fictional apocalyptic superflu virus central to Stephen King's novel *The Stand*.
  • D. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • E. A6
    A6 is a major French motorway that forms part of the primary route connecting Paris to Lyon and the south of France.
  • 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: A65
Triple: [Motorway 65, hasAbbreviation, A65]
Generated description
A65 is a major European motorway designation used for key regional and international road routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A65
Target entity description: A65 is a major European motorway designation used for key regional and international road routes.
  • A. A66
    A66 is a major trans-Pennine road in northern England that connects the Lake District with the North East, serving as an important east–west transport route.
  • B. A6
    A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
  • C. A6
    A6 is an alternate name for "Captain Trips," the fictional apocalyptic superflu virus central to Stephen King's novel *The Stand*.
  • D. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • E. A6
    A6 is a major French motorway that forms part of the primary route connecting Paris to Lyon and the south of France.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fc1e488190a0c48039f6213e62 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bba33c081909c0050ff7b868a8e completed May 3, 2026, 12:50 a.m.
NEDg Description generation batch_69f69df1032881909255e506ddfd9c9f completed May 3, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69f69ea645a0819095edc112b9ed9bff completed May 3, 2026, 1:02 a.m.
Created at: April 9, 2026, 5:39 p.m.