Triple

T18986153
Position Surface form Disambiguated ID Type / Status
Subject Oriente station E464563 entity
Predicate operator P179 FINISHED
Object Carris 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: Carris | Statement: [Oriente station, operator, Carris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carris
Context triple: [Oriente station, operator, Carris]
  • A. Carris chosen
    Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
  • B. Carr
    Carr is a common English and Irish surname with multiple notable bearers across fields such as sports, politics, and the arts.
  • C. Carriera
    Carriera is the Italian surname of Rosalba Carriera, an influential 18th-century Venetian Rococo painter renowned for her pastel portraits.
  • D. Karsen
    Karsen is a given name that can be used for people of any gender.
  • E. Cales
    Cales is an ancient town in the region of Samnium in central-southern Italy, historically significant within the Roman administrative and geographic landscape.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65f7f08819088f56e8e030851b1 completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.