Triple
T21731857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The West Wind |
E536425
|
entity |
| Predicate | waterDepiction |
P145158
|
FINISHED |
| Object | lake surface |
—
|
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: lake surface | Statement: [The West Wind, waterDepiction, lake surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterDepiction Context triple: [The West Wind, waterDepiction, lake surface]
-
A.
waterFeature
Indicates the presence of a natural or artificial body or flow of water associated with the subject.
-
B.
waterColor
Indicates that one entity is the color or hue characteristic of water associated with another entity.
-
C.
waterbodyUsedFor
Indicates that a particular water body is utilized for a specific purpose, activity, or function.
-
D.
overWater
Indicates that one entity is located above or passes across a body of water, without being in direct contact with the water itself.
-
E.
waterBoard
Indicates subjecting someone to a form of torture that simulates drowning by pouring water over a cloth covering their face.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0713c48190a38b3963cb3cbaf0 |
completed | April 28, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69f3ed4408190a4a78410bf660c44 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 6:48 p.m.