Triple
T4026248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wizard Island |
E83596
|
entity |
| Predicate | lakeSurfaceElevation |
P51570
|
FINISHED |
| Object | about 1881 meters |
—
|
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: about 1881 meters | Statement: [Wizard Island, lakeSurfaceElevation, about 1881 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lakeSurfaceElevation Context triple: [Wizard Island, lakeSurfaceElevation, about 1881 meters]
-
A.
reservoirElevation
Indicates the height or level of water stored in a reservoir relative to a defined reference point.
-
B.
elevationAboveLake
Indicates the vertical height or altitude of something relative to the surface level of a specified lake.
-
C.
elevationAboveWater
chosen
Indicates the vertical distance by which one entity is positioned above the surface level of a body of water.
-
D.
waterLevelRise
Indicates that the level of water in a given area or container has increased over time.
-
E.
damHeight
Indicates the vertical height of a dam structure, typically measured from its base or foundation to its crest.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaed37e48190844032e7e77163e0 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fc78ec819092d4dab88d85a141 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.