Triple

T4046769
Position Surface form Disambiguated ID Type / Status
Subject Swiss motorway network E84083 entity
Predicate hasRoute P4374 FINISHED
Object A6
A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
 E408537 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: A6 | Statement: [Swiss motorway network, hasRoute, A6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A6
Context triple: [Swiss motorway network, hasRoute, A6]
  • A. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • B. A5
    A5 is a major Italian motorway connecting the city of Turin with the Aosta Valley and the Mont Blanc Tunnel at the French border.
  • C. A4
    A4 is a major French autoroute that connects Paris to the eastern regions of France and onward toward Germany.
  • D. A86
    A86 is a major orbital motorway forming part of the ring road system around Paris, France.
  • E. A8
    A8 is a major numbered road designation used in several countries for important regional or intercity routes.
  • 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: A6
Triple: [Swiss motorway network, hasRoute, A6]
Generated description
A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A6
Target entity description: A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
  • A. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • B. A5
    A5 is a major Italian motorway connecting the city of Turin with the Aosta Valley and the Mont Blanc Tunnel at the French border.
  • C. A4
    A4 is a major French autoroute that connects Paris to the eastern regions of France and onward toward Germany.
  • D. A86
    A86 is a major orbital motorway forming part of the ring road system around Paris, France.
  • E. A8
    A8 is a major numbered road designation used in several countries for important regional or intercity routes.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb62593c8190ab8462c4d9cd9d08 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55652228c8190a9f301676deb0055 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b556fec4708190b221893ec35f1a38 completed March 14, 2026, 12:39 p.m.
NED2 Entity disambiguation (via description) batch_69b557f73cbc8190b904089ab0fa97d6 completed March 14, 2026, 12:43 p.m.
Created at: March 9, 2026, 3:37 p.m.