Triple

T3586124
Position Surface form Disambiguated ID Type / Status
Subject Autostrada A5 E75912 entity
Predicate roadNumber P1864 FINISHED
Object A5
A5 is a major Italian motorway connecting the city of Turin with the Aosta Valley and the Mont Blanc Tunnel at the French border.
 E371506 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: A5 | Statement: [Autostrada A5, roadNumber, A5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A5
Context triple: [Autostrada A5, roadNumber, A5]
  • A. A55
    A55 is a major Australian highway route designation used for sections of the Castlereagh Highway in New South Wales.
  • B. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • C. A4
    A4 is a major French autoroute that connects Paris to the eastern regions of France and onward toward Germany.
  • D. A59
    A59 is a major road in northern England that runs between Liverpool and York, passing through key towns such as Preston and Skipton.
  • E. A500
    A500 is the common shorthand for the Commodore Amiga 500, a popular late-1980s home computer known for its advanced graphics and sound capabilities.
  • 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: A5
Triple: [Autostrada A5, roadNumber, A5]
Generated description
A5 is a major Italian motorway connecting the city of Turin with the Aosta Valley and the Mont Blanc Tunnel at the French border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A5
Target entity description: A5 is a major Italian motorway connecting the city of Turin with the Aosta Valley and the Mont Blanc Tunnel at the French border.
  • A. A55
    A55 is a major Australian highway route designation used for sections of the Castlereagh Highway in New South Wales.
  • B. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • C. A4
    A4 is a major French autoroute that connects Paris to the eastern regions of France and onward toward Germany.
  • D. A59
    A59 is a major road in northern England that runs between Liverpool and York, passing through key towns such as Preston and Skipton.
  • E. A500
    A500 is the common shorthand for the Commodore Amiga 500, a popular late-1980s home computer known for its advanced graphics and sound capabilities.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc137eb708190809cd52b6deb227c completed March 8, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4030088548190adbb029be1caeb81 completed March 13, 2026, 12:28 p.m.
NEDg Description generation batch_69b406d014d88190b488b9b1f70fecca completed March 13, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69b40872099c81909bc3531bea77f875 completed March 13, 2026, 12:52 p.m.
Created at: March 8, 2026, 3:22 p.m.