Triple
T30088974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valley of Nine Villages |
E764674
|
entity |
| Predicate | hasFamousWaterfall |
P184861
|
FINISHED |
| Object | Nuorilang Waterfall |
—
|
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: Nuorilang Waterfall | Statement: [Valley of Nine Villages, hasFamousWaterfall, Nuorilang Waterfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamousWaterfall Context triple: [Valley of Nine Villages, hasFamousWaterfall, Nuorilang Waterfall]
-
A.
hasNumberOfWaterfalls
Indicates the quantity of waterfalls associated with a given entity.
-
B.
majorWaterfall
Indicates that a waterfall is of significant size, height, or volume relative to other waterfalls.
-
C.
numberOfMajorWaterfallsInCity
Indicates the count of major waterfalls located within a given city.
-
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. chosen
Provenance (4 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7b628b17c8190aa058c1a51852a27 |
completed | May 3, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b5cadd308190a864245a21b08f9a |
completed | May 3, 2026, 8:53 p.m. |
Created at: April 29, 2026, 7:05 p.m.