Triple
T32170757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirror Lakes |
E821702
|
entity |
| Predicate | approximateDrivingTimeFromTeAnau |
P197364
|
FINISHED |
| Object | about 45 minutes |
—
|
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 45 minutes | Statement: [Mirror Lakes, approximateDrivingTimeFromTeAnau, about 45 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateDrivingTimeFromTeAnau Context triple: [Mirror Lakes, approximateDrivingTimeFromTeAnau, about 45 minutes]
-
A.
approximateDistanceFromTeAnau
Indicates that one entity’s distance is an estimated or approximate measure relative to the location Te Anau.
-
B.
approximateDrivingTime
Indicates the estimated amount of time it takes to drive from one location to another under typical conditions.
-
C.
distanceFromQueenstownByRoad
Indicates the road travel distance between a given place and Queenstown.
-
D.
approximateDrivingTimeFromLAnse
Indicates the estimated amount of time it takes to drive from L'Anse to another specified location.
-
E.
approximateDrivingTimeFromBrisbane
Indicates the estimated amount of time it takes to drive from Brisbane to a 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
| PDg | Predicate description generation | batch_69fe8dde8d008190b03dc0f97618073c |
completed | May 9, 2026, 1:29 a.m. |
Created at: May 1, 2026, 12:33 a.m.