Triple
T23307876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verzasca Valley |
E590499
|
entity |
| Predicate | waterBodyColor |
P10891
|
FINISHED |
| Object | emerald green |
—
|
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: emerald green | Statement: [Verzasca Valley, waterBodyColor, emerald green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterBodyColor Context triple: [Verzasca Valley, waterBodyColor, emerald green]
-
A.
waterColor
chosen
Indicates that one entity is the color or hue characteristic of water associated with another entity.
-
B.
hasWaterColor
Indicates that an entity possesses or is characterized by a particular color of water.
-
C.
bodyOfWater
Indicates that one entity is a body of water that is geographically or physically associated with another entity.
-
D.
waterbodyType
Indicates the classification of a water body according to its type (e.g., river, lake, ocean, etc.).
-
E.
formsBodyOfWater
Indicates that one entity constitutes or creates the physical substance or structure that makes up a particular body of water.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197292fd08190bc364e1433dde213 |
completed | April 29, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5:05 p.m.