Triple
T2049178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakewood Park |
E45523
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Lakewood, Florida |
E61132
|
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: Lakewood, Florida | Statement: [Lakewood Park, near, Lakewood, Florida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakewood, Florida Context triple: [Lakewood Park, near, Lakewood, Florida]
-
A.
Lakewood, Florida
chosen
Lakewood, Florida is a small community in Walton County best known as the nearest settlement to Britton Hill, the highest natural point in the state.
-
B.
Westville, Florida
Westville, Florida is a small rural town located in the Florida Panhandle.
-
C.
Lovett, Florida
Lovett, Florida is a small unincorporated rural community located in Madison County in the northern part of the state.
-
D.
Lakeland, Florida
Lakeland, Florida is a mid-sized city in central Florida known for its numerous lakes, historic downtown, and long-standing ties to Major League Baseball.
-
E.
Lake City, Florida
Lake City, Florida is a small north-central Florida city that serves as a regional commercial and transportation hub near the intersection of major highways and close to numerous natural springs and lakes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb98c70c48190beb98aad56d9daf1 |
completed | March 7, 2026, 5:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d87712881908453ddd2d506a0b9 |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:39 p.m.