Triple

T595081
Position Surface form Disambiguated ID Type / Status
Subject M3 motorway E17362 entity
Predicate roadNumber P1864 FINISHED
Object M3
M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
 E74483 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: M3 | Statement: [M3 motorway, roadNumber, M3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M3
Context triple: [M3 motorway, roadNumber, M3]
  • A. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • B. M8
    M8 is a major motorway in Scotland that connects the cities of Glasgow and Edinburgh.
  • C. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • D. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • E. M25
    M25 is a major orbital motorway encircling most of Greater London in the United Kingdom.
  • 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: M3
Triple: [M3 motorway, roadNumber, M3]
Generated description
M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M3
Target entity description: M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
  • A. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • B. M8
    M8 is a major motorway in Scotland that connects the cities of Glasgow and Edinburgh.
  • C. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • D. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • E. M25
    M25 is a major orbital motorway encircling most of Greater London in the United Kingdom.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bd280ac8190b6a530ce73da85c8 completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a518c61744819090ccc037d61a61b1 completed March 2, 2026, 4:57 a.m.
NEDg Description generation batch_69a5197869fc8190b3e11f46f4eea7b9 completed March 2, 2026, 5 a.m.
NED2 Entity disambiguation (via description) batch_69a519e6319c81908d49076dfe2cd963 completed March 2, 2026, 5:02 a.m.
Created at: March 1, 2026, 7:33 p.m.