Triple
T29337764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamkhaga Pass |
E743954
|
entity |
| Predicate | approxTrekDuration |
P106942
|
FINISHED |
| Object | about 8 to 10 days |
—
|
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 8 to 10 days | Statement: [Lamkhaga Pass, approxTrekDuration, about 8 to 10 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approxTrekDuration Context triple: [Lamkhaga Pass, approxTrekDuration, about 8 to 10 days]
-
A.
approximateTripDuration
Indicates the estimated length of time required to complete a trip between specified locations or points in a journey.
-
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.
trekDurationApprox
chosen
Indicates an approximate length of time that the trek is expected to take.
-
D.
durationDaysApprox
Indicates an approximate length of time, measured in days, for which an event, state, or condition lasts.
-
E.
foragingTripDuration
Indicates the length of time an entity spends on a foraging trip before returning.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: April 28, 2026, 1:31 p.m.