Triple
T30696786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machhapuchhre |
E781489
|
entity |
| Predicate | viewedFromTrek |
P9193
|
FINISHED |
| Object | Annapurna Sanctuary Trek |
—
|
NE NERFINISHED |
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: Annapurna Sanctuary Trek | Statement: [Machhapuchhre, viewedFromTrek, Annapurna Sanctuary Trek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewedFromTrek Context triple: [Machhapuchhre, viewedFromTrek, Annapurna Sanctuary Trek]
-
A.
trekkingBase
Indicates a location that serves as the primary starting point or support hub for trekking activities.
-
B.
trekkingFeature
Indicates a notable characteristic, condition, or element specifically associated with trekking activities or routes.
-
C.
hasScenicViewOf
chosen
Indicates that one entity offers a visually appealing or picturesque view of another entity.
-
D.
trek
Indicates undertaking a long, often challenging journey, typically on foot, from one place to another.
-
E.
tourDocumented
Indicates that a tour has been recorded or documented, typically capturing its details, events, or progression.
- 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68bdc341c81908590731e72a3488c |
completed | May 2, 2026, 11:42 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:34 p.m.