Triple
T12327662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pine Flat Lake |
E293873
|
entity |
| Predicate | waterbodyElevation |
P47800
|
FINISHED |
| Object | approximately 951 feet above sea level at full pool |
—
|
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: approximately 951 feet above sea level at full pool | Statement: [Pine Flat Lake, waterbodyElevation, approximately 951 feet above sea level at full pool]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterbodyElevation Context triple: [Pine Flat Lake, waterbodyElevation, approximately 951 feet above sea level at full pool]
-
A.
elevationAboveWater
Indicates the vertical distance by which one entity is positioned above the surface level of a body of water.
-
B.
reservoirElevation
chosen
Indicates the height or level of water stored in a reservoir relative to a defined reference point.
-
C.
riverMouthElevation
Indicates the elevation at which a river reaches its mouth or endpoint, typically where it flows into another body of water.
-
D.
elevationAboveLake
Indicates the vertical height or altitude of something relative to the surface level of a specified lake.
-
E.
lakeMaximumDepth
Indicates the greatest recorded vertical distance from the lake’s surface to its deepest point.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.