Triple

T390376
Position Surface form Disambiguated ID Type / Status
Subject M8 motorway E8866 entity
Predicate roadNumber P1864 FINISHED
Object M8
M8 is a major motorway in Scotland that connects the cities of Glasgow and Edinburgh.
 E49217 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: M8 | Statement: [M8 motorway, roadNumber, M8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M8
Context triple: [M8 motorway, roadNumber, M8]
  • 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. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • C. M45
    M45 is the Pleiades, a prominent open star cluster in the constellation Taurus visible to the naked eye and known since antiquity.
  • D. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • E. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • 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: M8
Triple: [M8 motorway, roadNumber, M8]
Generated description
M8 is a major motorway in Scotland that connects the cities of Glasgow and Edinburgh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M8
Target entity description: M8 is a major motorway in Scotland that connects the cities of Glasgow and Edinburgh.
  • 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. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • C. M45
    M45 is the Pleiades, a prominent open star cluster in the constellation Taurus visible to the naked eye and known since antiquity.
  • D. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • E. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec5d73e881909101308a583c8f13 completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4035310608190a1e0f807cb93e1e1 completed March 1, 2026, 9:13 a.m.
NEDg Description generation batch_69a403a7c1488190a7773a5ae8a8cec7 completed March 1, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_69a40428b014819091c6534ba35a11ff completed March 1, 2026, 9:17 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.