Triple
T10574858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 9 (Barcelona Metro) |
E249581
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Trambesòs |
E51772
|
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 | Statement: [Line 9 (Barcelona Metro), connectsWith, Trambesòs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trambesòs Context triple: [Line 9 (Barcelona Metro), connectsWith, Trambesòs]
-
A.
Trambesòs
chosen
Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
-
B.
Ripollès
Ripollès is a mountainous comarca in the Catalan Pyrenees of northeastern Spain, known for its Romanesque heritage, natural landscapes, and proximity to the French border.
-
C.
Camarasa
Camarasa is a municipality in the province of Lleida, Catalonia, Spain, known for its reservoir and scenic location in the Noguera region.
-
D.
Noguès
Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
-
E.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
- 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_69d52749dda08190b0c9627a931c5848 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b5d89748190bb398943e4a16e9b |
completed | April 10, 2026, 7:11 p.m. |
Created at: April 6, 2026, 12:38 p.m.