Triple

T14145448
Position Surface form Disambiguated ID Type / Status
Subject Nice city centre E350536 entity
Predicate transport P230 FINISHED
Object Nice tramway E118269 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: Nice tramway | Statement: [Nice city centre, transport, Nice tramway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nice tramway
Context triple: [Nice city centre, transport, Nice tramway]
  • A. Nice tramway chosen
    The Nice tramway is a modern light rail system serving the city of Nice, France, connecting key districts, transport hubs, and coastal areas including the Promenade des Anglais.
  • B. Tram 18
    Tram 18 is a tram line in Geneva’s public transport system that connects key districts within the city and its surrounding areas.
  • C. Tram Train Route
    Tram Train Route is a hybrid light rail line in the Sheffield Supertram network that allows tram vehicles to run seamlessly on both city tram tracks and mainline railway infrastructure.
  • D. Nice tramway Line 1
    Nice tramway Line 1 is a major light rail route in Nice, France, forming part of the city’s primary public transport network and linking key central districts and landmarks.
  • E. Tram 2000
    Tram 2000 is a series of articulated light rail vehicles used for urban public transport in Zürich, Switzerland.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de612266248190a8591b646fe30ae6 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf1b8508819096d4f5cf1456edca completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:53 a.m.