Triple
T31048092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madrid–Valladolid high-speed line |
E791181
|
entity |
| Predicate | travelTimeMadridValladolidAfterOpening |
P40025
|
FINISHED |
| Object | about 55 minutes |
—
|
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: about 55 minutes | Statement: [Madrid–Valladolid high-speed line, travelTimeMadridValladolidAfterOpening, about 55 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelTimeMadridValladolidAfterOpening Context triple: [Madrid–Valladolid high-speed line, travelTimeMadridValladolidAfterOpening, about 55 minutes]
-
A.
distanceToValladolid
Indicates the spatial distance between a given entity or location and the city of Valladolid.
-
B.
distanceToMadrid
Indicates the physical distance between a given location or entity and the city of Madrid.
-
C.
travelTimeAfterOpening
chosen
Indicates the amount of time required to travel between specified points, measured from the moment a referenced entity (such as a facility or route) becomes open or available.
-
D.
directionFromMadrid
Indicates the cardinal or relative compass direction of an entity’s location as measured outward from Madrid.
-
E.
distanceToValencia
Indicates the measured distance between a given entity’s location and the city of Valencia.
- 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_69f224ca2fa881908a3ac5fedf207b90 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 29, 2026, 9 p.m.