Triple
T5420725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Fish, Two Fish, Red Fish, Blue Fish |
E121240
|
entity |
| Predicate | waterElement |
P20923
|
FINISHED |
| Object | fountains that can soak riders |
—
|
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: fountains that can soak riders | Statement: [One Fish, Two Fish, Red Fish, Blue Fish, waterElement, fountains that can soak riders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterElement Context triple: [One Fish, Two Fish, Red Fish, Blue Fish, waterElement, fountains that can soak riders]
-
A.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
B.
waterFeature
chosen
Indicates the presence of a natural or artificial body or flow of water associated with the subject.
-
C.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
D.
waterFilled
Indicates that one entity is filled or occupied with water, typically to a certain level or capacity.
-
E.
waterVolume
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87eac41481908a4982db5d119edd |
completed | March 20, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69bd8469f5e48190bbe5c8bdfe8925ea |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.