Triple

T10769411
Position Surface form Disambiguated ID Type / Status
Subject Plaça Sant Jaume E254034 entity
Predicate publicTransport P1288 FINISHED
Object Jaume I metro station E858724 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: Jaume I metro station | Statement: [Plaça Sant Jaume, publicTransport, Jaume I metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaume I metro station
Context triple: [Plaça Sant Jaume, publicTransport, Jaume I metro station]
  • A. Jaume I metro station chosen
    Jaume I metro station is a Barcelona Metro stop on line L4 located in the historic city center near the Gothic Quarter and El Born.
  • B. Santa Eulàlia station
    Santa Eulàlia station is a Barcelona Metro stop in the L'Hospitalet de Llobregat area that serves as part of the city’s rapid transit network.
  • C. Ségur metro station
    Ségur metro station is a Paris Métro station in the 15th arrondissement, serving Line 10 near the UNESCO headquarters and the Place de Fontenoy.
  • D. Badalona Pompeu Fabra station
    Badalona Pompeu Fabra station is a Barcelona Metro station in the city of Badalona that serves as the northern endpoint of one of the network’s main urban lines.
  • E. Martínez Nadal station
    Martínez Nadal station is a rapid transit stop on the Tren Urbano system serving the San Juan metropolitan area in Puerto Rico.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d732307fb88190ba1447f68523c58a completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d6a7b8c481908249acfffc97b08a completed April 18, 2026, 12:56 a.m.
Created at: April 8, 2026, 9:16 p.m.