Triple
T19937739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taboga Island |
E479217
|
entity |
| Predicate | distanceFromPanamaCity |
P86493
|
FINISHED |
| Object | approximately 20 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 20 kilometers | Statement: [Taboga Island, distanceFromPanamaCity, approximately 20 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPanamaCity Context triple: [Taboga Island, distanceFromPanamaCity, approximately 20 kilometers]
-
A.
distanceToPanamaCity
chosen
Indicates the spatial distance between a given location or object and Panama City.
-
B.
distanceFromSantoDomingo
Indicates the spatial distance between a given entity and the location of Santo Domingo.
-
C.
distanceToGuayaquil_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Guayaquil.
-
D.
distanceFromCentralAmerica
Indicates the measured spatial distance between a given entity and the region of Central America.
-
E.
distanceFromMedellín
Indicates the measured spatial distance between an entity and the city of Medellín.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a190ac08190b9dc7955c9764a71 |
completed | April 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69e537f47c508190853c4e009c6b5566 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.