Triple
T2531564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latourell Falls |
E56169
|
entity |
| Predicate | seasonalFlow |
P39412
|
FINISHED |
| Object | flows year-round |
—
|
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: flows year-round | Statement: [Latourell Falls, seasonalFlow, flows year-round]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalFlow Context triple: [Latourell Falls, seasonalFlow, flows year-round]
-
A.
floodSeasonCause
Indicates the cause or contributing factor responsible for a particular flood season occurring.
-
B.
typicalLowFlowSeason
Indicates the season during which a river or water body characteristically experiences its lowest flow levels.
-
C.
hasSeasonalFlooding
Indicates that an area regularly experiences flooding during specific, recurring times of the year.
-
D.
hydrologicalProcess
Indicates a relationship where an entity participates in, is affected by, or is otherwise involved in the movement, distribution, or transformation of water within the hydrological cycle.
-
E.
floodGauge
Indicates that a device or measurement point is used to monitor and record the level or intensity of flooding at a specific location.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2781700819091ffc32244d9efe2 |
completed | March 7, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd18e72a88190bdcf12b326d42fad |
completed | March 7, 2026, 7:19 a.m. |
Created at: March 6, 2026, 9:47 p.m.