Triple
T26784790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camino Real Barichara–Guane |
E670349
|
entity |
| Predicate | walkingTime |
P53938
|
FINISHED |
| Object | approximately 2 to 3 hours |
—
|
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 2 to 3 hours | Statement: [Camino Real Barichara–Guane, walkingTime, approximately 2 to 3 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: walkingTime Context triple: [Camino Real Barichara–Guane, walkingTime, approximately 2 to 3 hours]
-
A.
hasApproximateWalkingTimeTo
chosen
Indicates that there is an estimated or approximate amount of time it takes to walk from one entity to another.
-
B.
travelTimeCategory
Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
-
C.
walkThrough
Indicates moving through or along the interior or extent of something, typically traversing a space or environment from one side or point to another.
-
D.
travelTimeTypical
Indicates the usual or expected amount of time it takes to travel between two locations under normal conditions.
-
E.
approximateDrivingTime
Indicates the estimated amount of time it takes to drive from one location to another under typical conditions.
- 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6197ec85c8190a29ab92ac50521f0 |
completed | May 2, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 4:12 a.m.