Triple
T25555622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zephyrhills, Florida |
E640560
|
entity |
| Predicate | hasWaterBrand |
P40804
|
FINISHED |
| Object | Zephyrhills Natural Spring Water |
—
|
NE NERFINISHED |
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: Zephyrhills Natural Spring Water | Statement: [Zephyrhills, Florida, hasWaterBrand, Zephyrhills Natural Spring Water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterBrand Context triple: [Zephyrhills, Florida, hasWaterBrand, Zephyrhills Natural Spring Water]
-
A.
hasWaterFunction
Indicates that an entity performs, provides, or is associated with a specific function or role related to water.
-
B.
hasBrandName
chosen
Indicates that an entity is associated with or identified by a specific brand name.
-
C.
hasWaterColor
Indicates that an entity possesses or is characterized by a particular color of water.
-
D.
hasWaterChannel
Indicates that one entity possesses or contains a channel or conduit through which water flows or is transported.
-
E.
hasWaterLevelCharacteristic
Indicates that an entity is associated with a specific property, feature, or behavior related to its water level.
- 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_69e75dc101a881909fd33b02174e9768 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 21, 2026, 3:39 p.m.