Triple

T4046772
Position Surface form Disambiguated ID Type / Status
Subject Swiss motorway network E84083 entity
Predicate hasRoute P4374 FINISHED
Object A9
A9 is a major Swiss motorway that runs across the southwestern part of the country, connecting key regions in Valais and linking to international routes.
E408538 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: A9 | Statement: [Swiss motorway network, hasRoute, A9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A9
Context triple: [Swiss motorway network, hasRoute, A9]
  • A. A9
    A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
  • B. A92
    A92 is a major trunk road in eastern Scotland that runs along the coast, connecting several key towns and cities including Dundee and Aberdeen.
  • C. A59
    A59 is a major road in northern England that runs between Liverpool and York, passing through key towns such as Preston and Skipton.
  • D. A8
    A8 is a major numbered road designation used in several countries for important regional or intercity routes.
  • E. A7
    A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • 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: A9
Triple: [Swiss motorway network, hasRoute, A9]
Generated description
A9 is a major Swiss motorway that runs across the southwestern part of the country, connecting key regions in Valais and linking to international routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A9
Target entity description: A9 is a major Swiss motorway that runs across the southwestern part of the country, connecting key regions in Valais and linking to international routes.
  • A. A9
    A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
  • B. A92
    A92 is a major trunk road in eastern Scotland that runs along the coast, connecting several key towns and cities including Dundee and Aberdeen.
  • C. A59
    A59 is a major road in northern England that runs between Liverpool and York, passing through key towns such as Preston and Skipton.
  • D. A8
    A8 is a major numbered road designation used in several countries for important regional or intercity routes.
  • E. A7
    A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • 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.