Triple
T6972273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanda Falls |
E161624
|
entity |
| Predicate | naturalForm |
P73583
|
FINISHED |
| Object | freshwater 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: freshwater waterfall | Statement: [Tanda Falls, naturalForm, freshwater waterfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: naturalForm Context triple: [Tanda Falls, naturalForm, freshwater waterfall]
-
A.
standardFormulation
Indicates that something is expressed or represented in a conventional, officially accepted, or commonly used form or version.
-
B.
nounFormOf
Indicates that one term is the noun form derived from, or corresponding to, another term (typically a verb or adjective).
-
C.
generalizedForm
Indicates that one entity is a more abstract, generalized version or broader form of another entity.
-
D.
compositionalForm
Indicates the structural or formal composition that defines how parts are organized or combined within something.
-
E.
logicalForm
Indicates a relationship where an expression is associated with its structured, formal logical representation.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db398f10819096d34b179ccb20d5 |
completed | March 27, 2026, 7:32 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8e2d7b48190b37bb13984663cde |
completed | March 27, 2026, 7:22 p.m. |
Created at: March 27, 2026, 2:30 p.m.