Triple
T26852711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebring, Florida |
E676100
|
entity |
| Predicate | lakeRegion |
P127227
|
FINISHED |
| Object | Ridge and Lake Country of Florida |
—
|
NE NERFINISHED |
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: Ridge and Lake Country of Florida | Statement: [Sebring, Florida, lakeRegion, Ridge and Lake Country of Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lakeRegion Context triple: [Sebring, Florida, lakeRegion, Ridge and Lake Country of Florida]
-
A.
mouthLake
Indicates the location where a river or stream flows into and forms part of a lake.
-
B.
lakeOrigin
Indicates that a lake originates from, is formed by, or has its source in a specified geographic or hydrological feature.
-
C.
lakeArea
Indicates the surface area measurement of a lake.
-
D.
locatedInLakeRegion
Indicates that the subject entity is situated within a geographic area characterized as a lake region.
-
E.
hasLakeRegion
chosen
Indicates that a place or geographic area includes or is associated with a specific lake region.
- F. None of above.
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_69eee9b9d7708190a15d7485709ae981 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61b93f6d88190beffbcd2e9374a61 |
completed | May 2, 2026, 3:43 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 5:18 a.m.