Triple
T20507435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giant Springs State Park |
E503469
|
entity |
| Predicate | springWaterDischarge |
P126532
|
FINISHED |
| Object | large constant flow 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: large constant flow year-round | Statement: [Giant Springs State Park, springWaterDischarge, large constant flow year-round]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: springWaterDischarge Context triple: [Giant Springs State Park, springWaterDischarge, large constant flow year-round]
-
A.
seasonalFlow
Indicates that the flow or intensity of something varies in a recurring pattern according to the seasons.
-
B.
currentHydrology
chosen
Indicates the present state or characteristics of water flow, distribution, and related hydrological conditions associated with an entity.
-
C.
floodPeakDischarge
Indicates the maximum rate of water flow occurring at the peak of a flood event in a river or channel.
-
D.
surfaceWaterOutlet
Indicates a relationship where surface water from one location flows out or is discharged through a specific outlet or exit point.
-
E.
riverPhenomenon
Indicates a natural event, condition, or process that occurs in or directly affects a river.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dc82dd0819085d64d65a1e72c70 |
completed | April 20, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:36 a.m.