Triple
T34311705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aranguez |
E880464
|
entity |
| Predicate | distanceToPortOfSpain |
—
|
GENERATED |
| Object | approximately 5–7 kilometers |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToPortOfSpain Context triple: [Aranguez, distanceToPortOfSpain, approximately 5–7 kilometers]
-
A.
distanceFromPortOfSpain
chosen
Indicates the measured distance between a given location and the city of Port of Spain.
-
B.
distanceToPort-au-Prince
Indicates the spatial distance between a given location and the city of Port-au-Prince.
-
C.
distanceFromSantoDomingo
Indicates the spatial distance between a given entity and the location of Santo Domingo.
-
D.
distanceToHaiti
Indicates the measured or calculated spatial distance between a given entity or location and the country of Haiti.
-
E.
distanceToTrinidad
Indicates the spatial distance between a given entity and the location of Trinidad.
- F. None of above.
Provenance (1 batch)
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_69f349b8bb6c8190ad12a7957a574f04 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:57 a.m.