Triple
T25878138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewis Smith Dam |
E651962
|
entity |
| Predicate | reservoirMaxDepth |
P42760
|
FINISHED |
| Object | over 250 feet |
—
|
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: over 250 feet | Statement: [Lewis Smith Dam, reservoirMaxDepth, over 250 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservoirMaxDepth Context triple: [Lewis Smith Dam, reservoirMaxDepth, over 250 feet]
-
A.
maximumWaterDepth
chosen
Indicates the greatest depth of water present or allowed in a given context, such as a location, container, or body of water.
-
B.
lakeMaximumDepth
Indicates the greatest recorded vertical distance from the lake’s surface to its deepest point.
-
C.
reservoirLength
Indicates the measured longitudinal extent of a reservoir from one end to the other.
-
D.
reservoirTotalCapacity
Indicates the maximum volume of water that a reservoir is designed to hold when full.
-
E.
riverbedDepth
Indicates the depth or vertical distance from the water surface to the bottom of a river at a given location or time.
- 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_69e7ab3ad9d88190841ddcb93ab02e96 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6033b9dc48190b572786f332b939f |
completed | May 2, 2026, 1:59 p.m. |
| PD | Predicate disambiguation | batch_69f4939148dc81908706cec7d85291bc |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 8:13 a.m.