Triple
T5784978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canaima National Park |
E128247
|
entity |
| Predicate | AngelFallsStatus |
P65822
|
FINISHED |
| Object | world’s highest uninterrupted waterfall |
—
|
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: world’s highest uninterrupted waterfall | Statement: [Canaima National Park, AngelFallsStatus, world’s highest uninterrupted waterfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AngelFallsStatus Context triple: [Canaima National Park, AngelFallsStatus, world’s highest uninterrupted waterfall]
-
A.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
B.
lighthouseStatus
Indicates the operational condition or state (e.g., active, inactive, under maintenance) of a lighthouse at a given time.
-
C.
climbingStatus
Indicates the current state or condition of an entity with respect to a climbing activity or process (e.g., whether it is climbing, has climbed, or is not climbing).
-
D.
hasNumberOfWaterfalls
Indicates the quantity of waterfalls associated with a given entity.
-
E.
heightAboveFalls
Indicates that one entity is located at a higher elevation than a waterfall or waterfalls associated with another entity.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a1af0ec8190a47be1b7e7b5cda7 |
completed | March 22, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69c021d2cd608190b98a7e3aa7001d27 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c024861bc88190a17782c1982fbb3e |
completed | March 22, 2026, 5:19 p.m. |
Created at: March 22, 2026, 3:51 p.m.