Triple
T32406454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Torto |
E828094
|
entity |
| Predicate | isNaturalOutletOf |
P174043
|
FINISHED |
| Object | Lake Annone |
—
|
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: Lake Annone | Statement: [Rio Torto, isNaturalOutletOf, Lake Annone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNaturalOutletOf Context triple: [Rio Torto, isNaturalOutletOf, Lake Annone]
-
A.
locatedAtOutletOf
Indicates that one entity is positioned at or directly adjacent to the outlet or discharge point of another entity (such as a flow, channel, or system).
-
B.
doesNotHaveOutletTo
Indicates that one entity lacks any direct outlet, passage, or connection leading to another entity or to an external space.
-
C.
hasOutletRiver
Indicates that a body of water discharges or flows out into a specified river as its outlet.
-
D.
hasOutlet
Indicates that one entity provides, contains, or is equipped with an outlet or point of access for another entity.
-
E.
isNaturalTributaryOf
Indicates that one watercourse flows naturally into another, contributing its water as a tributary without artificial diversion.
- 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_69f34919342c8190a4c3bf35a90d4e58 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c247928481908f5aa369adfd2906 |
completed | May 3, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bb344bb48190a8089f29c0063ded |
completed | May 3, 2026, 3:04 a.m. |
Created at: May 1, 2026, 12:53 a.m.