Triple
T22563072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yongtai County |
E557867
|
entity |
| Predicate | hasHotSpringResource |
P32542
|
FINISHED |
| Object | geothermal water |
—
|
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: geothermal water | Statement: [Yongtai County, hasHotSpringResource, geothermal water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHotSpringResource Context triple: [Yongtai County, hasHotSpringResource, geothermal water]
-
A.
hasHotSpring
chosen
Indicates that one entity possesses, contains, or is associated with a hot spring.
-
B.
hasThermalResource
Indicates that an entity possesses, provides, or is associated with a source of thermal energy or heat-related capability.
-
C.
hasNumberOfHotSprings
Indicates the quantity of hot springs associated with a given entity.
-
D.
hasSpring
Indicates that an entity possesses or contains a spring, typically as a mechanical or structural component.
-
E.
hasResourceBase
Indicates that one entity possesses, is founded on, or derives from another entity serving as its fundamental resource or base.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa7a828819096804ac928e2aaf9 |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:52 p.m.