Triple

T21394741
Position Surface form Disambiguated ID Type / Status
Subject A720 road E527749 entity
Predicate roadNumber P1864 FINISHED
Object A720
A720 is a major ring road in Edinburgh, Scotland, forming the city’s bypass and a key part of its transport network.
E1482626 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: A720 | Statement: [A720 road, roadNumber, A720]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A720
Context triple: [A720 road, roadNumber, A720]
  • A. A725
    A725 is a primary road in Scotland that connects the M8 and M74 motorways, serving as a key route through the Lanarkshire area.
  • B. A70
    The A70 is a major road in Scotland that connects Edinburgh with Ayr, passing through several towns and rural areas along its route.
  • C. A702
    The A702 is a major road in Scotland that connects Edinburgh to the south, serving as a key route toward the English border and the M74.
  • D. A71
    A71 is a major French autoroute that runs through central France, connecting the Paris region to Clermont-Ferrand and linking with other key motorways.
  • E. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • 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: A720
Triple: [A720 road, roadNumber, A720]
Generated description
A720 is a major ring road in Edinburgh, Scotland, forming the city’s bypass and a key part of its transport network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A720
Target entity description: A720 is a major ring road in Edinburgh, Scotland, forming the city’s bypass and a key part of its transport network.
  • A. A725
    A725 is a primary road in Scotland that connects the M8 and M74 motorways, serving as a key route through the Lanarkshire area.
  • B. A70
    The A70 is a major road in Scotland that connects Edinburgh with Ayr, passing through several towns and rural areas along its route.
  • C. A702
    The A702 is a major road in Scotland that connects Edinburgh to the south, serving as a key route toward the English border and the M74.
  • D. A71
    A71 is a major French autoroute that runs through central France, connecting the Paris region to Clermont-Ferrand and linking with other key motorways.
  • E. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b117d8c881908b823c1212b5b919 completed April 22, 2026, 11:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09bb4a9390819093f0ce34f96420ce completed May 17, 2026, 12:57 p.m.
NEDg Description generation batch_6a09bea3994481908b7a782fd384603a completed May 17, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09bf9d2d508190a45847afa0d47337 completed May 17, 2026, 1:16 p.m.
Created at: April 16, 2026, 5:13 p.m.