Triple
T28646416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monjo |
E725068
|
entity |
| Predicate | trekRegion |
P141924
|
FINISHED |
| Object | Everest Base Camp 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: Everest Base Camp trek | Statement: [Monjo, trekRegion, Everest Base Camp trek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trekRegion Context triple: [Monjo, trekRegion, Everest Base Camp trek]
-
A.
trek
Indicates undertaking a long, often challenging journey, typically on foot, from one place to another.
-
B.
regionOfTour
chosen
Indicates that a specified geographic or administrative region is the location or scope within which a particular tour takes place.
-
C.
trekType
Indicates the specific category or style of trekking activity associated with an entity.
-
D.
trekkingBase
Indicates a location that serves as the primary starting point or support hub for trekking activities.
-
E.
trekStage
Indicates a specific segment or leg within a longer trek or journey, typically ordered as part of a multi-stage route.
- 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_69f01d8423888190bd2f4e52605bf261 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:48 a.m.