Triple
T7239253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakeland, Florida |
E155311
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Lake Gibson
Lake Gibson is a freshwater lake in Lakeland, Florida, known for recreational activities such as boating and fishing.
|
E800282
|
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: Lake Gibson | Statement: [Lakeland, Florida, hasLake, Lake Gibson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Gibson Context triple: [Lakeland, Florida, hasLake, Lake Gibson]
-
A.
Grapevine Lake
Grapevine Lake is a large reservoir in North Texas popular for boating, fishing, and outdoor recreation, serving as both a water supply and a regional leisure destination.
-
B.
Lake McIntosh
Lake McIntosh is a man-made reservoir in Fayette County, Georgia, popular for recreation and scenic residential development.
-
C.
Webb Lake
Webb Lake is a scenic freshwater lake in western Maine known for outdoor recreation such as boating, fishing, and camping.
-
D.
Findley Lake
Findley Lake is a small hamlet and recreational lake in southwestern New York known for its lakeside tourism and proximity to the Pennsylvania border.
-
E.
Lake Tiscapa
Lake Tiscapa is a volcanic crater lake in Managua, Nicaragua, historically significant as a scenic landmark and former site of presidential residences.
- 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: Lake Gibson Triple: [Lakeland, Florida, hasLake, Lake Gibson]
Generated description
Lake Gibson is a freshwater lake in Lakeland, Florida, known for recreational activities such as boating and fishing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake Gibson Target entity description: Lake Gibson is a freshwater lake in Lakeland, Florida, known for recreational activities such as boating and fishing.
-
A.
Grapevine Lake
Grapevine Lake is a large reservoir in North Texas popular for boating, fishing, and outdoor recreation, serving as both a water supply and a regional leisure destination.
-
B.
Lake McIntosh
Lake McIntosh is a man-made reservoir in Fayette County, Georgia, popular for recreation and scenic residential development.
-
C.
Webb Lake
Webb Lake is a scenic freshwater lake in western Maine known for outdoor recreation such as boating, fishing, and camping.
-
D.
Findley Lake
Findley Lake is a small hamlet and recreational lake in southwestern New York known for its lakeside tourism and proximity to the Pennsylvania border.
-
E.
Lake Tiscapa
Lake Tiscapa is a volcanic crater lake in Managua, Nicaragua, historically significant as a scenic landmark and former site of presidential residences.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea37fa9081908e9c3abe49d151e5 |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d121b5cc1c819093109b22acacf98f |
completed | April 4, 2026, 2:35 p.m. |
| NEDg | Description generation | batch_69d1231adb4481908fac11cae099d0de |
completed | April 4, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d123fcc8f48190838abd08a4af0a63 |
completed | April 4, 2026, 2:45 p.m. |
Created at: March 27, 2026, 2:55 p.m.