Triple
T33058293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngadi Chuli |
E845901
|
entity |
| Predicate | approachTrekVia |
P118683
|
FINISHED |
| Object | Annapurna Circuit / Manaslu region trails |
—
|
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 Circuit / Manaslu region trails | Statement: [Ngadi Chuli, approachTrekVia, Annapurna Circuit / Manaslu region trails]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approachTrekVia Context triple: [Ngadi Chuli, approachTrekVia, Annapurna Circuit / Manaslu region trails]
-
A.
approachRoute
Indicates the path or method taken by one entity as it moves toward or comes closer to another entity or target.
-
B.
trekkingBase
Indicates a location that serves as the primary starting point or support hub for trekking activities.
-
C.
trailAccess
Indicates that one entity provides permission or a route for another entity to enter, use, or traverse a specific trail or pathway.
-
D.
trailblazerFor
Indicates that one entity serves as a pioneering example, opening the way or setting a precedent for another entity to follow or build upon.
-
E.
hasApproachTrail
chosen
Indicates that there is a designated trail or path providing access or approach to a particular location or feature.
- 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_69f3495333b8819095e9af56855b9061 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fecd0a732c819097bdd3eb69b6158c |
completed | May 9, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69fecc0318d481908b5b20598a76a9fe |
completed | May 9, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:25 a.m.