Triple

T10742108
Position Surface form Disambiguated ID Type / Status
Subject Gorg E253351 entity
Predicate servedBy P82 FINISHED
Object Trambesòs tram network E253354 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: Trambesòs tram network | Statement: [Gorg, servedBy, Trambesòs tram network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trambesòs tram network
Context triple: [Gorg, servedBy, Trambesòs tram network]
  • A. TRAM Besòs chosen
    TRAM Besòs is a modern tram network serving the Besòs area of Barcelona and its metropolitan surroundings as part of the city’s light rail system.
  • B. Tramvia Metropolità
    Tramvia Metropolità is a metropolitan tram system serving parts of the Barcelona area, providing urban and suburban light rail transport.
  • C. Barcelona Metro
    Barcelona Metro is the rapid transit rail network serving the city of Barcelona and its metropolitan area, known for its extensive coverage and integration with other public transport modes.
  • D. Tramvia de Sóller
    Tramvia de Sóller is a historic electric tramway line on the island of Mallorca that links the town of Sóller with its nearby port, serving both locals and tourists.
  • E. Santa Teresa Tram
    The Santa Teresa Tram is a historic yellow streetcar line in Rio de Janeiro that carries passengers through the hilly, bohemian Santa Teresa neighborhood and across the iconic Arcos da Lapa aqueduct.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710456ec88190ad8aff8804d13aa9 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0a03a1481908edb933b1613a027 completed April 14, 2026, 9:24 p.m.
Created at: April 8, 2026, 9:15 p.m.