Triple

T3496574
Position Surface form Disambiguated ID Type / Status
Subject Sefton E73864 entity
Predicate hasMajorRoad P385 FINISHED
Object M57
M57 is a major motorway in Merseyside, England, forming part of the road network serving the Sefton area and connecting it to other key routes in the region.
 E363159 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: M57 | Statement: [Sefton, hasMajorRoad, M57]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M57
Context triple: [Sefton, hasMajorRoad, M57]
  • A. M56
    The M56 is a major motorway in North West England that connects Manchester to North Wales and serves as a key route to Manchester Airport.
  • B. M-5
    M-5 is a state highway in southeastern Michigan that serves as a key commuter route connecting Novi and surrounding suburbs to the Detroit metropolitan area.
  • C. M67
    M67 is a short motorway in Greater Manchester, England, connecting the M60 near Denton towards Hyde and intended as the first section of an unrealized trans-Pennine route.
  • D. M55
    M55 is a New York City bus route that provides public transit service connecting to the Whitehall Terminal area in Lower Manhattan.
  • E. M74
    M74 is a major motorway in Scotland that connects Glasgow to the English border, forming part of the primary route between central Scotland and England.
  • 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: M57
Triple: [Sefton, hasMajorRoad, M57]
Generated description
M57 is a major motorway in Merseyside, England, forming part of the road network serving the Sefton area and connecting it to other key routes in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M57
Target entity description: M57 is a major motorway in Merseyside, England, forming part of the road network serving the Sefton area and connecting it to other key routes in the region.
  • A. M56
    The M56 is a major motorway in North West England that connects Manchester to North Wales and serves as a key route to Manchester Airport.
  • B. M-5
    M-5 is a state highway in southeastern Michigan that serves as a key commuter route connecting Novi and surrounding suburbs to the Detroit metropolitan area.
  • C. M67
    M67 is a short motorway in Greater Manchester, England, connecting the M60 near Denton towards Hyde and intended as the first section of an unrealized trans-Pennine route.
  • D. M55
    M55 is a New York City bus route that provides public transit service connecting to the Whitehall Terminal area in Lower Manhattan.
  • E. M74
    M74 is a major motorway in Scotland that connects Glasgow to the English border, forming part of the primary route between central Scotland and England.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd16c0081908f13535f459618d1 completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373cce4008190beb010b171bc4940 completed March 13, 2026, 2:17 a.m.
NEDg Description generation batch_69b374a7a4fc81909cb7e36502132d12 completed March 13, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_69b3755597d8819081375fab35b75369 completed March 13, 2026, 2:24 a.m.
Created at: March 8, 2026, 3:18 p.m.