Triple

T11040432
Position Surface form Disambiguated ID Type / Status
Subject Barcelona metropolitan transport network E260998 entity
Predicate includesService P1393 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: [Barcelona metropolitan transport network, includesService, Trambaix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trambaix
Context triple: [Barcelona metropolitan transport network, includesService, 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797ff519481909ebc2515b3d241de completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9d61b548190949f0dfbcb782064 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.