Triple

T20099084
Position Surface form Disambiguated ID Type / Status
Subject Lyon tramway network E496483 entity
Predicate hasLine P35 FINISHED
Object T6 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: T6 | Statement: [Lyon tramway network, hasLine, T6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T6
Context triple: [Lyon tramway network, hasLine, T6]
  • A. T6 chosen
    T6 is a tram line serving the Lyon metropolitan area, providing urban light-rail transit through Villeurbanne and neighboring districts.
  • B. T6
    T6 is a TrawsCymru long-distance bus route forming part of the Welsh government-supported interurban public transport network.
  • C. T6
    T6 is a tram line within the Trambesòs light rail network serving the Barcelona metropolitan area.
  • D. T-2
    T-2 is the Japanese Air Self-Defense Force designation for the Mitsubishi T-2, a supersonic jet trainer aircraft developed in Japan.
  • E. BT6
    BT6 is a postal district in the BT postcode area covering parts of east Belfast in Northern Ireland.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666e306c81909c0ef617e0f6fccf completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:26 p.m.