Triple
T31994914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yangshuo County |
E816967
|
entity |
| Predicate | hasOutdoorSport |
P59252
|
FINISHED |
| Object | rock climbing |
—
|
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: rock climbing | Statement: [Yangshuo County, hasOutdoorSport, rock climbing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutdoorSport Context triple: [Yangshuo County, hasOutdoorSport, rock climbing]
-
A.
hasOutdoorType
Indicates that an entity is associated with a specific type or category of outdoor environment or feature.
-
B.
isOutdoor
Indicates that an entity or activity takes place outside, in an open-air or non-enclosed environment.
-
C.
hasOutdoorResource
Indicates that an entity is associated with, provides, or includes access to an outdoor resource or facility.
-
D.
outdoorActivityType
chosen
Indicates the specific kind of outdoor activity associated with an entity or event.
-
E.
hasMountainSport
Indicates that an entity is associated with or offers a particular mountain-related sport or activity.
- 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_69f348f8002081909a3588758ba94afb |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 12:13 a.m.