Triple
T12074812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huangguoshu Waterfall |
E287517
|
entity |
| Predicate | hasNumberOfWaterfallsInArea |
P47968
|
FINISHED |
| Object | dozens of waterfalls in the scenic area |
—
|
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: dozens of waterfalls in the scenic area | Statement: [Huangguoshu Waterfall, hasNumberOfWaterfallsInArea, dozens of waterfalls in the scenic area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfWaterfallsInArea Context triple: [Huangguoshu Waterfall, hasNumberOfWaterfallsInArea, dozens of waterfalls in the scenic area]
-
A.
hasNumberOfWaterfalls
chosen
Indicates the quantity of waterfalls associated with a given entity.
-
B.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
C.
majorWaterfall
Indicates that a waterfall is of significant size, height, or volume relative to other waterfalls.
-
D.
waterfallName
Indicates that an entity is identified by or associated with the specific name of a waterfall.
-
E.
nearbyWaterfall
Indicates that the entity is located close to or within a short distance of a waterfall.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.