Triple
T16982512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cataratas de Huancaya |
E411979
|
entity |
| Predicate | approximateTravelTimeFromLima |
P109944
|
FINISHED |
| Object | about 7 to 8 hours by road |
—
|
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 7 to 8 hours by road | Statement: [Cataratas de Huancaya, approximateTravelTimeFromLima, about 7 to 8 hours by road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateTravelTimeFromLima Context triple: [Cataratas de Huancaya, approximateTravelTimeFromLima, about 7 to 8 hours by road]
-
A.
distanceFromLima
Indicates the measured distance between a given place or object and the city of Lima.
-
B.
distanceFromCusco
Indicates the measured spatial distance between a given location or entity and the city of Cusco.
-
C.
distanceFromLaPazApproximate
Indicates an approximate measure of how far something is from La Paz, typically expressed as a rough distance rather than an exact value.
-
D.
distanceFromArequipa
Indicates the spatial distance between a given location and the city of Arequipa.
-
E.
approximateTripDuration
chosen
Indicates the estimated length of time required to complete a trip between specified locations or points in a journey.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d18830ac8190a20c89a87379ae94 |
completed | April 18, 2026, 6:46 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.