Triple
T25325191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carillon dam |
E634991
|
entity |
| Predicate | affectsWaterLevelAt |
P135236
|
FINISHED |
| Object | Grenville |
—
|
NE NERFINISHED |
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: Grenville | Statement: [Carillon dam, affectsWaterLevelAt, Grenville]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsWaterLevelAt Context triple: [Carillon dam, affectsWaterLevelAt, Grenville]
-
A.
affectsWaterBody
Indicates that one entity has an impact on the condition, quality, or state of a water body.
-
B.
waterLevelRise
Indicates that the level of water in a given area or container has increased over time.
-
C.
controlsWaterLevelOf
Indicates that one entity has the ability or authority to regulate or adjust the water level of another entity or system.
-
D.
hasNormalWaterLevel
Indicates that an entity’s water level is within the expected or standard range, neither abnormally high nor low.
-
E.
raisesWaterway
chosen
Indicates that one entity elevates or increases the level, height, or flow of a waterway relative to another entity or state.
- 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_69e75a9908108190a95427a97020632a |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 21, 2026, 1:30 p.m.