Triple
T1115775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel Falls |
E11096
|
entity |
| Predicate | waterfallDrop |
P24531
|
FINISHED |
| Object | 807 metres |
—
|
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: 807 metres | Statement: [Angel Falls, waterfallDrop, 807 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterfallDrop Context triple: [Angel Falls, waterfallDrop, 807 metres]
-
A.
hasWaterfall
Indicates that one entity possesses, contains, or features a waterfall associated with it.
-
B.
dropType
Indicates the manner or category of how something is dropped, released, or caused to fall.
-
C.
hasSpillway
Indicates that a dam or similar water-retaining structure is equipped with a spillway for controlled release or overflow of water.
-
D.
majorWaterfall
Indicates that a waterfall is of significant size, height, or volume relative to other waterfalls.
-
E.
hasNumberOfDrops
Indicates the quantity or count of drops associated with an entity or event.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bbd7ff1881908c943ecdfea59e81 |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:43 p.m.