Triple
T32985269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phakding |
E843922
|
entity |
| Predicate | timeFromLukla |
P175885
|
FINISHED |
| Object | about 3 to 4 hours trekking |
—
|
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 3 to 4 hours trekking | Statement: [Phakding, timeFromLukla, about 3 to 4 hours trekking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeFromLukla Context triple: [Phakding, timeFromLukla, about 3 to 4 hours trekking]
-
A.
trekDistanceFromLukla
Indicates the trekking distance required to reach a location starting from Lukla.
-
B.
distanceToThimphu
Indicates the measured spatial distance between a given entity’s location and the city of Thimphu.
-
C.
distanceFromKathmandu
Indicates the measured spatial distance between a given location or entity and the city of Kathmandu.
-
D.
recommendedTimeToHike
Indicates the suggested or optimal time period during which one should undertake a particular hike.
-
E.
approximateAscentTimeFromRefuge
Indicates the estimated amount of time required to ascend from a specified refuge to a target point or destination.
- 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_69f3494c6f9c8190a255409fce8b1d3b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:22 a.m.