Triple

T10575484
Position Surface form Disambiguated ID Type / Status
Subject Sant Joan Despí | TV3 E249600 entity
Predicate serves P98 FINISHED
Object Trambaix E51268 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: Trambaix | Statement: [Sant Joan Despí | TV3, serves, Trambaix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trambaix
Context triple: [Sant Joan Despí | TV3, serves, Trambaix]
  • A. Trambaix chosen
    Trambaix is a modern tram network serving the metropolitan area of Barcelona, particularly its western suburbs and nearby municipalities.
  • B. Trambesòs
    Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
  • C. Guimba
    Guimba is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines, known for its extensive rice fields and rural communities.
  • D. Barradères
    Barradères is a coastal commune and fishing town in Haiti located within the Nippes Department.
  • E. Balenyà
    Balenyà is a municipality in the comarca of Osona in Catalonia, Spain, known for its rural character and proximity to the city of Vic.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274b100c8190b477ef4cb745c269 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69de222baab081908e2e2b18f656dedb completed April 14, 2026, 11:16 a.m.
Created at: April 6, 2026, 12:38 p.m.