Triple
T5041012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairy Pools |
E113542
|
entity |
| Predicate | approximateWalkingTime |
P53938
|
FINISHED |
| Object | about 40 minutes to 1 hour round trip |
—
|
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 40 minutes to 1 hour round trip | Statement: [Fairy Pools, approximateWalkingTime, about 40 minutes to 1 hour round trip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateWalkingTime Context triple: [Fairy Pools, approximateWalkingTime, about 40 minutes to 1 hour round trip]
-
A.
hasApproximateWalkingTimeTo
chosen
Indicates that there is an estimated or approximate amount of time it takes to walk from one entity to another.
-
B.
approximateHikeTimeRoundTrip
Indicates the estimated total time required to complete a hike from the starting point to the destination and back to the start.
-
C.
endTimeApproximate
Indicates that the recorded end time of an event or action is not exact but an approximate value.
-
D.
approximateCrossingTime
Indicates an estimated point in time when one entity is expected to cross or intersect another (such as a path, boundary, or trajectory).
-
E.
approximateTravelTimeToSheremetyevo
Indicates the estimated amount of time it typically takes to travel from a given location to Sheremetyevo.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73de73008190b89aec9a76b43e4f |
completed | March 20, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69bd71529d608190a53470ba6c14bb1d |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.