Triple
T22046031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cercanías Madrid Line C-2 |
E544765
|
entity |
| Predicate | hasPeakDirection |
P77639
|
FINISHED |
| Object | towards central Madrid in morning peak |
—
|
LITERAL 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: towards central Madrid in morning peak | Statement: [Cercanías Madrid Line C-2, hasPeakDirection, towards central Madrid in morning peak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeakDirection Context triple: [Cercanías Madrid Line C-2, hasPeakDirection, towards central Madrid in morning peak]
-
A.
hasPeakDirectionService
chosen
Indicates that a transportation service operates primarily or exclusively in a specified direction during peak travel periods.
-
B.
hasPeak
Indicates that something possesses or contains a highest point, summit, or maximum value.
-
C.
hasPeakAround
Indicates that something exhibits a maximum value, intensity, or prominence in the vicinity of a specified point, range, or condition.
-
D.
hasPeakAssociated
Indicates that one entity is linked or related to a specific peak (such as a summit or maximum point) associated with it.
-
E.
hasPeakOver
Indicates that one entity’s peak (such as a maximum value, height, or intensity) exceeds that of 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1282f4a448190bca55348c457a4bd |
completed | April 28, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:26 p.m.