Triple
T25555622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zephyrhills, Florida |
E640560
|
entity |
| Predicate | hasWaterBrand |
P40804
|
FINISHED |
| Object |
Zephyrhills Natural Spring Water
Zephyrhills Natural Spring Water is a bottled water brand sourced from natural springs in Florida and sold widely across the United States.
|
E1683139
|
NE FINISHED |
How this triple was built (3 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]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zephyrhills Natural Spring Water Triple: [Zephyrhills, Florida, hasWaterBrand, Zephyrhills Natural Spring Water]
Generated description
Zephyrhills Natural Spring Water is a bottled water brand sourced from natural springs in Florida and sold widely across the United States.
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 (6 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10ada2f80881908a950634fadc1527 |
completed | May 22, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_6a10ae583b108190801bf4219bf2467a |
completed | May 22, 2026, 7:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10af7926d08190829ca21869a5ab66 |
completed | May 22, 2026, 7:33 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 21, 2026, 3:39 p.m.