Triple

T17737110
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A99 E442748 entity
Predicate hasRoadNumber P1864 FINISHED
Object A99
A99 is a major ring motorway encircling the city of Munich in Germany, forming part of the federal Autobahn network.
 E1285497 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: A99 | Statement: [Autobahn A99, hasRoadNumber, A99]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A99
Context triple: [Autobahn A99, hasRoadNumber, A99]
  • A. A9
    The A9 is a major trunk road in Scotland that runs from Falkirk to Scrabster, serving as one of the country’s primary north–south transport routes.
  • B. A9
    A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
  • C. 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.
  • D. A96
    The A96 is a major trunk road in northeast Scotland that connects the cities of Aberdeen and Inverness, serving as a key route for regional traffic and commerce.
  • E. A96
    A96 is a major German autobahn in southern Bavaria that connects Munich with Lindau near the Austrian and Swiss borders.
  • 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: A99
Triple: [Autobahn A99, hasRoadNumber, A99]
Generated description
A99 is a major ring motorway encircling the city of Munich in Germany, forming part of the federal Autobahn network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A99
Target entity description: A99 is a major ring motorway encircling the city of Munich in Germany, forming part of the federal Autobahn network.
  • 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. A9
    The A9 is a major trunk road in Scotland that runs from Falkirk to Scrabster, serving as one of the country’s primary north–south transport routes.
  • C. 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.
  • D. A96
    The A96 is a major trunk road in northeast Scotland that connects the cities of Aberdeen and Inverness, serving as a key route for regional traffic and commerce.
  • E. A96
    A96 is a major German autobahn in southern Bavaria that connects Munich with Lindau near the Austrian and Swiss borders.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478ec48988190a503f9aafeab6d23 completed April 19, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0242f965148190a7b76796546ab920 completed May 11, 2026, 8:58 p.m.
NEDg Description generation batch_6a02455730948190b1151d24f260d768 completed May 11, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_6a0245c34d008190ae029000dc8e9cbc completed May 11, 2026, 9:10 p.m.
Created at: April 10, 2026, 10:08 a.m.