Triple

T5014207
Position Surface form Disambiguated ID Type / Status
Subject Rhônexpress E112700 entity
Predicate operator P179 FINISHED
Object Rhonexpress SAS E112700 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: Rhonexpress SAS | Statement: [Rhônexpress, operator, Rhonexpress SAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhonexpress SAS
Context triple: [Rhônexpress, operator, Rhonexpress SAS]
  • A. Casa Transports SA
    Casa Transports SA is the public company responsible for managing and developing urban transport infrastructure and services in Casablanca, Morocco, including the city’s tramway network.
  • B. Rhônexpress chosen
    Rhônexpress is an express tram-train service in Lyon, France, that links the city center with Lyon–Saint-Exupéry Airport.
  • C. Port Services Corporation SAOG
    Port Services Corporation SAOG is an Omani company responsible for managing and providing maritime and logistical services at key ports in Oman.
  • D. Branobel
    Branobel was a major late-19th-century oil company based in the Russian Empire, founded by members of the Nobel family and influential in the early global petroleum industry.
  • E. Geodis
    Geodis is a global logistics and supply chain management company providing freight forwarding, contract logistics, and transportation services.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7310c5b08190a5c9ab0f9fe9569f completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9271eccc8190bbe9bdb876b41cb8 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.