Triple
T19857042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lock CS24 |
E477158
|
entity |
| Predicate | hasWaterLevelDifference |
P134618
|
FINISHED |
| Object | water level change between canal reaches |
—
|
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: water level change between canal reaches | Statement: [Lock CS24, hasWaterLevelDifference, water level change between canal reaches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterLevelDifference Context triple: [Lock CS24, hasWaterLevelDifference, water level change between canal reaches]
-
A.
hasNormalWaterLevel
Indicates that an entity’s water level is within the expected or standard range, neither abnormally high nor low.
-
B.
waterLevelTransition
chosen
Indicates a change in water level from one state or value to another over time.
-
C.
waterLevelTrend
Indicates the direction and rate at which a body of water’s level is changing over time (e.g., rising, falling, or stable).
-
D.
waterLevelRise
Indicates that the level of water in a given area or container has increased over time.
-
E.
reservoirElevation
Indicates the height or level of water stored in a reservoir relative to a defined reference 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586cd8f08190b34c8886e8617255 |
completed | April 20, 2026, 4:46 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.