Triple
T21144604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muyil |
E521019
|
entity |
| Predicate | distanceFromCaribbeanCoast |
P143035
|
FINISHED |
| Object | approximately 15 kilometers |
—
|
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 15 kilometers | Statement: [Muyil, distanceFromCaribbeanCoast, approximately 15 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromCaribbeanCoast Context triple: [Muyil, distanceFromCaribbeanCoast, approximately 15 kilometers]
-
A.
distanceToVenezuelaCoast
Indicates the measured distance between a given location and the coastline of Venezuela.
-
B.
distanceFromCentralAmerica
Indicates the measured spatial distance between a given entity and the region of Central America.
-
C.
distanceFromPortOfSpain
Indicates the measured distance between a given location and the city of Port of Spain.
-
D.
distanceFromSantoDomingo
Indicates the spatial distance between a given entity and the location of Santo Domingo.
-
E.
distanceToHaiti
Indicates the measured or calculated spatial distance between a given entity or location and the country of Haiti.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723fbb29881909c4036eab46ed440 |
completed | April 21, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 2:57 p.m.