Triple

T10769716
Position Surface form Disambiguated ID Type / Status
Subject Line 5 (Barcelona Metro) E254041 entity
Predicate servesNeighborhood P82 FINISHED
Object Horta-Guinardó E913725 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: Horta-Guinardó | Statement: [Line 5 (Barcelona Metro), servesNeighborhood, Horta-Guinardó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horta-Guinardó
Context triple: [Line 5 (Barcelona Metro), servesNeighborhood, Horta-Guinardó]
  • A. Segarra
    Segarra is a historical inland comarca in Catalonia, Spain, known for its rolling cereal plains, medieval castles, and the town of Cervera as its capital.
  • B. Noguera Pallaresa
    Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
  • C. Pedralbes chosen
    Pedralbes is an affluent residential neighborhood in Barcelona known for its upscale homes, green spaces, and prestigious educational institutions.
  • D. Figaró-Montmany
    Figaró-Montmany is a small municipality in the province of Barcelona, Catalonia, Spain, situated in a mountainous area near the Montseny Natural Park.
  • E. Gandria
    Gandria is a picturesque lakeside village in southern Switzerland known for its historic stone houses, narrow alleyways, and scenic setting on the shores of Lake Lugano.
  • 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_69f6af38e3548190a5192894932d9b1d completed May 3, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:16 p.m.