Triple
T10574837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 9 (Barcelona Metro) |
E249581
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object |
L9 Nord
L9 Nord is the northern branch of Barcelona Metro’s Line 9, serving various suburbs and connecting them to the city’s wider rapid transit network.
|
E871724
|
NE FINISHED |
How this triple was built (4 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: L9 Nord | Statement: [Line 9 (Barcelona Metro), hasSection, L9 Nord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L9 Nord Context triple: [Line 9 (Barcelona Metro), hasSection, L9 Nord]
-
A.
Léaz
Léaz is a small French commune located in eastern France near the Swiss border, within the Ain department.
-
B.
Nord-Sud line A
Nord-Sud line A was the original name of what is now Paris Métro Line 12, a north–south underground railway line in Paris.
-
C.
Nord-Sud Line B
Nord-Sud Line B was the original name of what is now Paris Métro Line 13, a major north–south subway line in the French capital.
-
D.
Gribskov Line
The Gribskov Line is a Danish regional railway line in North Zealand that connects Hillerød with several coastal and rural towns, serving as an important local transport route and tourist line.
-
E.
S9 Line
The S9 Line is a suburban rapid transit line of the Nanjing Metro system in Nanjing, China, connecting the urban area with outlying districts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: L9 Nord Triple: [Line 9 (Barcelona Metro), hasSection, L9 Nord]
Generated description
L9 Nord is the northern branch of Barcelona Metro’s Line 9, serving various suburbs and connecting them to the city’s wider rapid transit network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: L9 Nord Target entity description: L9 Nord is the northern branch of Barcelona Metro’s Line 9, serving various suburbs and connecting them to the city’s wider rapid transit network.
-
A.
Léaz
Léaz is a small French commune located in eastern France near the Swiss border, within the Ain department.
-
B.
Nord-Sud line A
Nord-Sud line A was the original name of what is now Paris Métro Line 12, a north–south underground railway line in Paris.
-
C.
Nord-Sud Line B
Nord-Sud Line B was the original name of what is now Paris Métro Line 13, a major north–south subway line in the French capital.
-
D.
Gribskov Line
The Gribskov Line is a Danish regional railway line in North Zealand that connects Hillerød with several coastal and rural towns, serving as an important local transport route and tourist line.
-
E.
S9 Line
The S9 Line is a suburban rapid transit line of the Nanjing Metro system in Nanjing, China, connecting the urban area with outlying districts.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69d94e1502108190a81bfa1d5a425e5a |
completed | April 10, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d94f0bb6888190b4038df6dcd96d33 |
completed | April 10, 2026, 7:27 p.m. |
Created at: April 6, 2026, 12:38 p.m.