Triple
T38451139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weeki Wachee Springs State Park |
E912176
|
entity |
| Predicate | waterBody |
P1778
|
FINISHED |
| Object |
Weeki Wachee Spring
Weeki Wachee Spring is a famous natural freshwater spring in Florida known for its exceptionally clear water, underwater mermaid shows, and role as the source of the Weeki Wachee River.
|
E2270791
|
NE 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: Weeki Wachee Spring | Statement: [Weeki Wachee Springs State Park, waterBody, Weeki Wachee Spring]
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: Weeki Wachee Spring Triple: [Weeki Wachee Springs State Park, waterBody, Weeki Wachee Spring]
Generated description
Weeki Wachee Spring is a famous natural freshwater spring in Florida known for its exceptionally clear water, underwater mermaid shows, and role as the source of the Weeki Wachee River.
Provenance (5 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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fccdfed78c8190a693f4af30fc6970 |
completed | May 7, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41ccab2f808190ad6f8af661d867f5 |
completed | June 29, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a41ce8ecb108190854e18180520010c |
completed | June 29, 2026, 1:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41ceec2cdc81908f27cf8ed5525634 |
completed | June 29, 2026, 1:48 a.m. |
Created at: May 3, 2026, 4:31 p.m.