Triple

T2129369
Position Surface form Disambiguated ID Type / Status
Subject A4 motorway (France) E46501 entity
Predicate routeNumber P1864 FINISHED
Object A4
A4 is a major French autoroute that connects Paris to the eastern regions of France and onward toward Germany.
 E237835 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: A4 | Statement: [A4 motorway (France), routeNumber, A4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A4
Context triple: [A4 motorway (France), routeNumber, A4]
  • A. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • B. A3
    A3 is a major German autobahn that runs across several federal states, serving as an important east–west transport corridor.
  • C. A24
    A24 is an independent entertainment company known for producing and distributing critically acclaimed and distinctive films and television series.
  • D. A24
    A24 is a major road designation used in several countries, typically referring to important regional or intercity routes.
  • E. A14
    A14 is a major trunk road in England that forms a key east–west freight and commuter route linking the Midlands to the East Coast ports.
  • 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: A4
Triple: [A4 motorway (France), routeNumber, A4]
Generated description
A4 is a major French autoroute that connects Paris to the eastern regions of France and onward toward Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A4
Target entity description: A4 is a major French autoroute that connects Paris to the eastern regions of France and onward toward Germany.
  • A. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • B. A3
    A3 is a major German autobahn that runs across several federal states, serving as an important east–west transport corridor.
  • C. A24
    A24 is an independent entertainment company known for producing and distributing critically acclaimed and distinctive films and television series.
  • D. A24
    A24 is a major road designation used in several countries, typically referring to important regional or intercity routes.
  • E. A14
    A14 is a major trunk road in England that forms a key east–west freight and commuter route linking the Midlands to the East Coast ports.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb77ccc4819087bee5dbb91b5ae8 completed March 7, 2026, 5:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51a36398819081df18cc18bc3456 completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae528634608190bf10e3abf5a2c2d9 completed March 9, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_69ae536431bc8190b9f293d74046cb27 completed March 9, 2026, 4:58 a.m.
Created at: March 4, 2026, 7:44 p.m.