Triple

T1909786
Position Surface form Disambiguated ID Type / Status
Subject Ashton Moss tram stop E38081 entity
Predicate nearMotorway P385 FINISHED
Object M60 E76610 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: M60 | Statement: [Ashton Moss tram stop, nearMotorway, M60]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M60
Context triple: [Ashton Moss tram stop, nearMotorway, M60]
  • A. M60 chosen
    M60 is a major orbital motorway encircling the city of Manchester in Greater Manchester, England.
  • B. M60 SBS
    The M60 SBS is a Select Bus Service route in New York City that provides limited-stop service between Manhattan and Queens, including direct access to LaGuardia Airport.
  • C. M62
    M62 is a major trans-Pennine motorway in northern England connecting cities such as Liverpool, Manchester, Leeds, and Hull.
  • D. M-45
    M-45 is a state highway in Michigan that runs east–west through the Grand Rapids area toward the Lake Michigan shoreline.
  • E. M16 rifle
    The M16 rifle is a lightweight, 5.56×45mm NATO, gas-operated assault rifle that has been a standard-issue infantry weapon for the U.S. military and many allied forces since the Vietnam War era.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1b7095c8190ad7e472aada30d3d completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaffbc2c81908303548fac82ff52 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:35 p.m.