Triple

T12646139
Position Surface form Disambiguated ID Type / Status
Subject Washington, Tyne and Wear E302027 entity
Predicate roadServedBy P385 FINISHED
Object A1(M) E160628 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: A1(M) | Statement: [Washington, Tyne and Wear, roadServedBy, A1(M)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A1(M)
Context triple: [Washington, Tyne and Wear, roadServedBy, A1(M)]
  • A. A1(M) chosen
    A1(M) is a series of motorway-standard sections in England that upgrade parts of the historic A1 route between London and the North.
  • B. A-1
    A-1 is the station code assigned to Kabaty, the southern terminus of Warsaw Metro Line M1.
  • C. M1
    M1 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s waters.
  • D. M1
    M1 is Budapest’s historic Millennium Underground line, one of the world’s oldest metro lines and a UNESCO World Heritage site.
  • 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 (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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614cefdc81908cfc4a4d04aa6eda completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687961d88190a605f17425ad7547 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:17 p.m.