Triple
T24166647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L10 Sud at Torrassa |
E599004
|
entity |
| Predicate | lineSectionOf |
P43954
|
FINISHED |
| Object | Line 10 (Barcelona Metro) |
—
|
NE NERFINISHED |
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: Line 10 (Barcelona Metro) | Statement: [L10 Sud at Torrassa, lineSectionOf, Line 10 (Barcelona Metro)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineSectionOf Context triple: [L10 Sud at Torrassa, lineSectionOf, Line 10 (Barcelona Metro)]
-
A.
lineSectionServed
Indicates that a particular line section is operated or covered by a given service or route.
-
B.
line1Section
Indicates that one entity is a specific section or segment of another entity referred to as "line1."
-
C.
railwayLineSection
chosen
Indicates a specific segment or portion of a railway line that connects two points along the rail network.
-
D.
line8Section
Indicates a relationship where an entity is located in, associated with, or belongs to section 8 of a line or linear structure.
-
E.
lineSectionOpenedWith
Indicates that a specific section of a line (such as a route, track, or service line) has been officially opened or put into operation by a particular action or event.
- F. None of above.
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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:32 p.m.