Triple
T26555185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glacial Lake Iroquois |
E671787
|
entity |
| Predicate | waterLevelHigherThan |
P167749
|
FINISHED |
| Object | present Lake Ontario level |
—
|
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: present Lake Ontario level | Statement: [Glacial Lake Iroquois, waterLevelHigherThan, present Lake Ontario level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterLevelHigherThan Context triple: [Glacial Lake Iroquois, waterLevelHigherThan, present Lake Ontario level]
-
A.
waterLevelRise
Indicates that the level of water in a given area or container has increased over time.
-
B.
waterLevelHighestIn
Indicates that the referenced location or container has the greatest water level compared to a specified set of locations or containers.
-
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.
hasNormalWaterLevel
Indicates that an entity’s water level is within the expected or standard range, neither abnormally high nor low.
-
E.
waterLevelThreat
Indicates that the current water level poses a potential danger or risk relative to a defined safety threshold.
- F. None of above. chosen
Provenance (4 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f66cf092c881908d7034c9c2bc61d5 |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 27, 2026, 1:49 a.m.