Triple
T34232843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llobregat–Anoia line urban services |
E878248
|
entity |
| Predicate | corridorFollows |
P80212
|
FINISHED |
| Object | Llobregat river valley |
—
|
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: Llobregat river valley | Statement: [Llobregat–Anoia line urban services, corridorFollows, Llobregat river valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: corridorFollows Context triple: [Llobregat–Anoia line urban services, corridorFollows, Llobregat river valley]
-
A.
followedCorridor
Indicates that an entity moved along and stayed within the path of a corridor from one point to another.
-
B.
focusesOnCorridor
Indicates that an action, attention, or process is directed specifically toward a corridor or passageway.
-
C.
corridorFunction
chosen
Indicates that one entity serves as a corridor or passageway functionally connecting or providing access between other spaces or areas.
-
D.
parallelCorridorFor
Indicates that one corridor runs alongside and in the same general direction as another corridor, forming a parallel passage.
-
E.
hasCorridor
Indicates that one entity includes, is connected by, or provides access through a corridor to another entity.
- 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710b339f88190bacc93d09fe8db59 |
completed | May 3, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:56 a.m.