Triple

T1762593
Position Surface form Disambiguated ID Type / Status
Subject M2 motorway E38689 entity
Predicate routeNumber P1864 FINISHED
Object M2
M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
 E195516 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: M2 | Statement: [M2 motorway, routeNumber, M2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M2
Context triple: [M2 motorway, routeNumber, M2]
  • A. M3
    M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
  • B. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • C. M
    M is a New York City Subway service that runs along the IND Sixth Avenue Line in Manhattan and connects Brooklyn and Queens.
  • D. M
    M is the codename for James Bond’s stern and authoritative superior who heads the British Secret Service in the 007 franchise.
  • E. M
    "M" is a 1951 American crime thriller film directed by Joseph Losey, adapted from Fritz Lang’s 1931 classic, in which David Wayne portrays a hunted child murderer.
  • 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: M2
Triple: [M2 motorway, routeNumber, M2]
Generated description
M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M2
Target entity description: M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
  • A. M3
    M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
  • B. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • C. M
    "M" is a 1951 American crime thriller film directed by Joseph Losey, adapted from Fritz Lang’s 1931 classic, in which David Wayne portrays a hunted child murderer.
  • D. M
    M is a New York City Subway service that runs along the IND Sixth Avenue Line in Manhattan and connects Brooklyn and Queens.
  • E. M
    M is the codename for James Bond’s stern and authoritative superior who heads the British Secret Service in the 007 franchise.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6465245c8190b1ee84628c62c529 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0eef69c8190a4d5c8fdaa02603a completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada207c50881909729bf565c2af9dd completed March 8, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_69ada2c607fc819089d276ae9eca82a4 completed March 8, 2026, 4:24 p.m.
Created at: March 4, 2026, 7:31 p.m.