Triple
T9315272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polk County, Florida |
E224101
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Chain of Lakes
Chain of Lakes is a connected system of freshwater lakes in central Florida known for recreation, boating, and scenic waterfront communities.
|
E791060
|
NE FINISHED |
How this triple was built (4 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: Chain of Lakes | Statement: [Polk County, Florida, hasLake, Chain of Lakes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chain of Lakes Context triple: [Polk County, Florida, hasLake, Chain of Lakes]
-
A.
Chain of Lakes
Chain of Lakes is a popular interconnected group of urban lakes in Minneapolis, Minnesota, known for recreation, scenic trails, and surrounding parkland.
-
B.
Chain O’Lakes
Chain O’Lakes is a popular interconnected system of lakes in northeastern Illinois known for boating, fishing, and recreational tourism.
-
C.
City of Lakes
City of Lakes is a popular nickname for Minneapolis, highlighting its many urban lakes and waterfronts.
-
D.
City of Lakes
City of Lakes is a popular nickname for Thane, a city in Maharashtra, India, known for its numerous lakes and scenic waterfronts.
-
E.
City of Lakes
City of Lakes is a popular nickname for Udaipur, a picturesque city in Rajasthan, India, renowned for its numerous interconnected lakes and romantic waterfront scenery.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Chain of Lakes Triple: [Polk County, Florida, hasLake, Chain of Lakes]
Generated description
Chain of Lakes is a connected system of freshwater lakes in central Florida known for recreation, boating, and scenic waterfront communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chain of Lakes Target entity description: Chain of Lakes is a connected system of freshwater lakes in central Florida known for recreation, boating, and scenic waterfront communities.
-
A.
Chain of Lakes
Chain of Lakes is a popular interconnected group of urban lakes in Minneapolis, Minnesota, known for recreation, scenic trails, and surrounding parkland.
-
B.
Chain O’Lakes
Chain O’Lakes is a popular interconnected system of lakes in northeastern Illinois known for boating, fishing, and recreational tourism.
-
C.
City of Lakes
City of Lakes is a popular nickname for Minneapolis, highlighting its many urban lakes and waterfronts.
-
D.
City of Lakes
City of Lakes is a popular nickname for Thane, a city in Maharashtra, India, known for its numerous lakes and scenic waterfronts.
-
E.
City of Lakes
City of Lakes is a popular nickname for Udaipur, a picturesque city in Rajasthan, India, renowned for its numerous interconnected lakes and romantic waterfront scenery.
- F. None of above. chosen
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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358846e48190a8aacfab19d88ae7 |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7acba54819086da668f234321de |
completed | April 4, 2026, 8:11 a.m. |
| NEDg | Description generation | batch_69d0c8d9caf88190b595fe2fdf925394 |
completed | April 4, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0caeb3bf8819082afe90dec3364ec |
completed | April 4, 2026, 8:25 a.m. |
Created at: March 30, 2026, 7:37 p.m.