Triple

T14642628
Position Surface form Disambiguated ID Type / Status
Subject M5 motorway near Avonmouth E343764 entity
Predicate roadNumber P1864 FINISHED
Object M5 E233858 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: M5 | Statement: [M5 motorway near Avonmouth, roadNumber, M5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M5
Context triple: [M5 motorway near Avonmouth, roadNumber, M5]
  • A. M5 chosen
    M5 is a major British motorway that runs through the West Midlands and South West England, connecting the Midlands to the South West peninsula.
  • B. M5
    M5 is a line of the Bucharest Metro rapid transit system serving parts of Romania’s capital city.
  • C. M5
    M5 is a New York City bus route that runs along Manhattan’s west side, connecting Lower Manhattan with uptown neighborhoods including Morningside Heights.
  • 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. M55
    M55 is a British motorway in Lancashire that links the city of Preston with the seaside resort of Blackpool.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4e80aa48190884bab800f357106 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d404e881908d26e684702ae122 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.