Triple

T20161428
Position Surface form Disambiguated ID Type / Status
Subject GCl 111 E491712 entity
Predicate alsoKnownAs P39 FINISHED
Object M55 NE NERFINISHED

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: M55 | Statement: [GCl 111, alsoKnownAs, M55]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M55
Context triple: [GCl 111, alsoKnownAs, M55]
  • A. M55
    M55 is a New York City bus route that provides public transit service connecting to the Whitehall Terminal area in Lower Manhattan.
  • B. M55
    M55 is a British motorway in Lancashire that links the city of Preston with the seaside resort of Blackpool.
  • C. M-55
    M-55 is a state trunkline highway in Michigan that runs east–west across the northern Lower Peninsula, connecting several communities including the city of Manistee.
  • 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. M5
    M5 is a major British motorway that runs through the West Midlands and South West England, connecting the Midlands to the South West peninsula.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e43940819080f6a0b7331aaab0 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.