Triple
T21098511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laredo, Cantabria, Spain |
E519830
|
entity |
| Predicate | distanceToSantander |
P142843
|
FINISHED |
| Object | approximately 45 km east |
—
|
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: approximately 45 km east | Statement: [Laredo, Cantabria, Spain, distanceToSantander, approximately 45 km east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSantander Context triple: [Laredo, Cantabria, Spain, distanceToSantander, approximately 45 km east]
-
A.
distanceToMadrid
Indicates the physical distance between a given location or entity and the city of Madrid.
-
B.
distanceToValladolid
Indicates the spatial distance between a given entity or location and the city of Valladolid.
-
C.
distanceToPamplona
Indicates the spatial distance between a given entity and the location of Pamplona.
-
D.
distanceToZaragoza
Indicates the spatial distance between a given entity or location and the city of Zaragoza.
-
E.
distanceFromSeville
Indicates the spatial distance separating an entity from the location of Seville.
- F. None of above. chosen
Provenance (4 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5b51608190aa286d89a9d54e9f |
completed | April 21, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:52 p.m.