Triple

T2883698
Position Surface form Disambiguated ID Type / Status
Subject M53 motorway E59455 entity
Predicate hasAbbreviation P43 FINISHED
Object M53 E307096 NE FINISHED

How this triple was built (2 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: M53 | Statement: [M53 motorway, hasAbbreviation, M53]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M53
Context triple: [M53 motorway, hasAbbreviation, M53]
  • A. M53 chosen
    M53 is a major motorway in North West England that connects the Wirral Peninsula with the M56 near Chester, facilitating regional traffic flow.
  • B. M-53
    M-53 is a state highway in Michigan that runs north–south through the Detroit metropolitan area and into Michigan’s Thumb region.
  • C. M55
    M55 is a New York City bus route that provides public transit service connecting to the Whitehall Terminal area in Lower Manhattan.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe02e0ec48190b969ed921d179560 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055f2d72c8190b81b2b0b3093ae57 completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 10:03 p.m.