Triple
T19937771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taboga Island |
E479217
|
entity |
| Predicate | travelTimeFromPanamaCity |
P137909
|
FINISHED |
| Object | about 30–60 minutes by boat |
—
|
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: about 30–60 minutes by boat | Statement: [Taboga Island, travelTimeFromPanamaCity, about 30–60 minutes by boat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelTimeFromPanamaCity Context triple: [Taboga Island, travelTimeFromPanamaCity, about 30–60 minutes by boat]
-
A.
distanceToPanamaCity
Indicates the spatial distance between a given location or object and Panama City.
-
B.
travelTimeFromBogotáByCar
Indicates the amount of time it takes to travel by car from Bogotá to a specified destination.
-
C.
distanceFromSantoDomingo
Indicates the spatial distance between a given entity and the location of Santo Domingo.
-
D.
distanceToSantaMarta
Indicates the measured spatial distance between a given entity’s location and the location of Santa Marta.
-
E.
approximateTravelTimeFromPalompon
Indicates the estimated duration it takes to travel from Palompon to another specified location.
- 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_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. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:53 p.m.