Triple
T32156613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wekiwa Springs State Park |
E821309
|
entity |
| Predicate | springDischargeType |
P173645
|
FINISHED |
| Object | first-magnitude spring |
—
|
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: first-magnitude spring | Statement: [Wekiwa Springs State Park, springDischargeType, first-magnitude spring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: springDischargeType Context triple: [Wekiwa Springs State Park, springDischargeType, first-magnitude spring]
-
A.
surfaceWaterOutlet
Indicates a relationship where surface water from one location flows out or is discharged through a specific outlet or exit point.
-
B.
watershedType
Indicates the classification or category of a watershed associated with an entity (e.g., by hydrologic, ecological, or management type).
-
C.
typeOfWaterfall
Indicates that one entity is a specific kind or category of waterfall in relation to another entity.
-
D.
drainageType
Indicates the kind or classification of drainage associated with or applied to an entity (e.g., how water is removed or flows from it).
-
E.
hasWatercourseType
Indicates the specific kind or category of watercourse (such as river, stream, or canal) associated with an entity.
- 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_69f34905e098819082191a6922a6d607 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b9eefa3c81909dea4f3e71b6a929 |
completed | May 3, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:32 a.m.