Triple
T35421645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donut Secret area lake |
E1023810
|
entity |
| Predicate | hasWaterMechanics |
P188470
|
FINISHED |
| Object | swimming |
—
|
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: swimming | Statement: [Donut Secret area lake, hasWaterMechanics, swimming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterMechanics Context triple: [Donut Secret area lake, hasWaterMechanics, swimming]
-
A.
hasMechanicalFeature
Indicates that one entity possesses, includes, or is characterized by a specific mechanical component, attribute, or functionality.
-
B.
hasWaterFunction
Indicates that an entity performs, provides, or is associated with a specific function or role related to water.
-
C.
hasWaterMovement
Indicates that one entity exhibits or is characterized by a particular type or pattern of water movement.
-
D.
hasMechanism
Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
-
E.
waterInput
Indicates that an entity receives or is supplied with water from another source or system.
- 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_69f76df6704081909900c60be10d5849 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba789c1188190973a919bfe2871f3 |
completed | May 6, 2026, 8:41 p.m. |
Created at: May 3, 2026, 4:03 p.m.