Triple

T810883
Position Surface form Disambiguated ID Type / Status
Subject Middle Franconia E17540 entity
Predicate hasMotorway P385 FINISHED
Object A9
A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
 E97820 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: [Middle Franconia, hasMotorway, A9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A9
Context triple: [Middle Franconia, hasMotorway, A9]
  • A. 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.
  • B. A's
    A's is the common nickname for the Philadelphia Athletics, a historic Major League Baseball franchise.
  • C. AJ
    AJ is a leading peer-reviewed scientific journal in astronomy and astrophysics, publishing research on the structure and evolution of the universe.
  • D. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • E. 9X
    9X is the IATA airline designator assigned to Southern Airways Express, a U.S.-based regional commuter airline.
  • 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: [Middle Franconia, hasMotorway, A9]
Generated description
A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A9
Target entity description: A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
  • A. 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.
  • B. A's
    A's is the common nickname for the Philadelphia Athletics, a historic Major League Baseball franchise.
  • C. AJ
    AJ is a leading peer-reviewed scientific journal in astronomy and astrophysics, publishing research on the structure and evolution of the universe.
  • D. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • E. 9X
    9X is the IATA airline designator assigned to Southern Airways Express, a U.S.-based regional commuter airline.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab282fe48190a05ee97550843cd7 completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8869888190a95857546dfae5b3 completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a78e436c048190b31b53fff1c48f1d completed March 4, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_69a78eb80f6081908257889efaff6d33 completed March 4, 2026, 1:45 a.m.
Created at: March 1, 2026, 7:38 p.m.