Triple

T16808433
Position Surface form Disambiguated ID Type / Status
Subject A9 E408538 entity
Predicate partOfEuropeanRoute P6309 FINISHED
Object E62
E62 is a major trans-European road route that runs across parts of France, Switzerland, and Italy, connecting the Atlantic coast to northern Italy.
 E1234887 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: E62 | Statement: [A9, partOfEuropeanRoute, E62]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: E62
Context triple: [A9, partOfEuropeanRoute, E62]
  • A. E60
    E60 is a major trans-European route that stretches from Brest in France to Irkeshtam on the Kyrgyz–Chinese border, crossing numerous countries across the continent.
  • B. E69
    E69 is a European highway in northern Norway that connects the town of Olderfjord to the North Cape, one of the northernmost road-accessible points in Europe.
  • C. BMW E65
    The BMW E65 is the fourth-generation BMW 7 Series luxury sedan, produced from 2001 to 2008 and known for its controversial styling and introduction of the iDrive system.
  • D. E54
    E54 is a European route that forms part of the international E-road network, connecting cities across multiple countries in Europe.
  • E. E65
    E65 is a major European route that runs north–south through several countries in Central and Southeastern Europe, connecting important cities and transport hubs.
  • 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: E62
Triple: [A9, partOfEuropeanRoute, E62]
Generated description
E62 is a major trans-European road route that runs across parts of France, Switzerland, and Italy, connecting the Atlantic coast to northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: E62
Target entity description: E62 is a major trans-European road route that runs across parts of France, Switzerland, and Italy, connecting the Atlantic coast to northern Italy.
  • A. E60
    E60 is a major trans-European route that stretches from Brest in France to Irkeshtam on the Kyrgyz–Chinese border, crossing numerous countries across the continent.
  • B. E69
    E69 is a European highway in northern Norway that connects the town of Olderfjord to the North Cape, one of the northernmost road-accessible points in Europe.
  • C. BMW E65
    The BMW E65 is the fourth-generation BMW 7 Series luxury sedan, produced from 2001 to 2008 and known for its controversial styling and introduction of the iDrive system.
  • D. E54
    E54 is a European route that forms part of the international E-road network, connecting cities across multiple countries in Europe.
  • E. E65
    E65 is a major European route that runs north–south through several countries in Central and Southeastern Europe, connecting important cities and transport hubs.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2cde590819080dc474292b023ee completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b28f125481909664363904f4c031 completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b399786c8190acbd188ab55b1fa0 completed May 10, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_6a00b466ecd08190b7b5ee54476631ab completed May 10, 2026, 4:37 p.m.
Created at: April 10, 2026, 5:22 a.m.