Triple
T28536567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southernmost Point area |
E722177
|
entity |
| Predicate | distanceToCuba |
P201735
|
FINISHED |
| Object | approximately 90 miles |
—
|
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 90 miles | Statement: [Southernmost Point area, distanceToCuba, approximately 90 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCuba Context triple: [Southernmost Point area, distanceToCuba, approximately 90 miles]
-
A.
distanceToHavana
Indicates the measured spatial distance between a given entity’s location and the city of Havana.
-
B.
distanceToHolguin
Indicates the measured spatial distance between a given entity and the location of Holguin.
-
C.
distanceToJamaica
Indicates the measured or calculated distance between a given entity and the location Jamaica.
-
D.
distanceToHaiti
Indicates the measured or calculated spatial distance between a given entity or location and the country of Haiti.
-
E.
distanceFromMiami
Indicates the spatial distance between a given entity’s location and the city of Miami.
- 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_69f01a5d7ec88190ada2d5be7c06c35d |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a0019b0e9fc81909494320f05e81742 |
completed | May 10, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_6a00193379e0819096d1985686ce10e3 |
completed | May 10, 2026, 5:35 a.m. |
| PDg | Predicate description generation | batch_6a0019b009a481908d09ef90b693a466 |
completed | May 10, 2026, 5:37 a.m. |
Created at: April 28, 2026, 3:32 a.m.