Triple

T20745258
Position Surface form Disambiguated ID Type / Status
Subject M0 motorway (Hungary) E510562 entity
Predicate roadNumber P1864 FINISHED
Object M0 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: M0 | Statement: [M0 motorway (Hungary), roadNumber, M0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M0
Context triple: [M0 motorway (Hungary), roadNumber, M0]
  • A. M0 chosen
    M0 is a major orbital motorway encircling Budapest, Hungary, serving as a key ring road that connects several radial highways around the city.
  • B. M1
    M1 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s waters.
  • C. M1
    M1 is Budapest’s historic Millennium Underground line, one of the world’s oldest metro lines and a UNESCO World Heritage site.
  • D. M1
    M1 is the region of the brain’s frontal lobe responsible for executing voluntary movements by sending motor commands to the muscles.
  • E. M1
    M1 is a central Manchester, England postcode district that covers much of the city centre’s commercial and cultural core.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c212b744819089bc1d47a020bd61 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.