Triple
T18068876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasyugan River |
E432366
|
entity |
| Predicate | hasFloodsDuring |
P13044
|
FINISHED |
| Object | spring snowmelt |
—
|
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: spring snowmelt | Statement: [Vasyugan River, hasFloodsDuring, spring snowmelt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFloodsDuring Context triple: [Vasyugan River, hasFloodsDuring, spring snowmelt]
-
A.
hasSeasonalFlooding
chosen
Indicates that an area regularly experiences flooding during specific, recurring times of the year.
-
B.
hasFloodRisk
Indicates that an entity is exposed to a potential or expected risk of flooding under certain conditions.
-
C.
hasFloodHistory
Indicates that the subject has experienced one or more flood events in the past.
-
D.
hasFloodRiskRelevance
Indicates that something is pertinent to, affects, or is used in assessing the risk or likelihood of flooding.
-
E.
floodRecord
Indicates that an entity serves as a documented record or report of a flood event affecting another entity or area.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccebff748190b41d2edd93994c67 |
completed | April 19, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:26 a.m.