Triple
T25066839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Abert |
E627803
|
entity |
| Predicate | hasNoOutletTo |
P144189
|
FINISHED |
| Object | ocean |
—
|
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: ocean | Statement: [Lake Abert, hasNoOutletTo, ocean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoOutletTo Context triple: [Lake Abert, hasNoOutletTo, ocean]
-
A.
doesNotHaveOutletTo
chosen
Indicates that one entity lacks any direct outlet, passage, or connection leading to another entity or to an external space.
-
B.
hasOutlet
Indicates that one entity provides, contains, or is equipped with an outlet or point of access for another entity.
-
C.
hasOutletType
Indicates that an entity is associated with a specific kind or category of outlet through which it operates, is distributed, or made available.
-
D.
hasOutletStructure
Indicates that one entity possesses or is associated with a specific outlet structure through which something (e.g., fluid, energy, or information) is discharged or released.
-
E.
hasInlet
Indicates that one entity serves as an inlet or entry point through which another entity receives a flow of material, energy, or fluid.
- F. None of above.
Provenance (3 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 18, 2026, 6:10 a.m.