Triple
T27569763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gokyo Ri |
E695999
|
entity |
| Predicate | approximateDescentTimeToGokyoVillage |
P188871
|
FINISHED |
| Object | 1.5 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: 1.5 to 3 hours | Statement: [Gokyo Ri, approximateDescentTimeToGokyoVillage, 1.5 to 3 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateDescentTimeToGokyoVillage Context triple: [Gokyo Ri, approximateDescentTimeToGokyoVillage, 1.5 to 3 hours]
-
A.
timeFromLukla
Indicates the amount of time required to travel from Lukla to the referenced location or event.
-
B.
trekDistanceFromLukla
Indicates the trekking distance required to reach a location starting from Lukla.
-
C.
approximateAscentTimeFromRefuge
Indicates the estimated amount of time required to ascend from a specified refuge to a target point or destination.
-
D.
distanceFromMaranguGate
Indicates the spatial distance measured from the Marangu Gate to a given location or entity.
-
E.
distanceToSummit
Indicates the measured or estimated distance remaining from a given point to the summit of a feature or elevation.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fbaf18085481908c774e8f8bbb9a41 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaebbb7f88190b4edfd9b83550aad |
completed | May 6, 2026, 9:12 p.m. |
Created at: April 27, 2026, 1:43 p.m.