Triple
T32355692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanibel Causeway |
E826724
|
entity |
| Predicate | tollRoadOperator |
P5944
|
FINISHED |
| Object | Lee County, 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: Lee County, Florida | Statement: [Sanibel Causeway, tollRoadOperator, Lee County, Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tollRoadOperator Context triple: [Sanibel Causeway, tollRoadOperator, Lee County, Florida]
-
A.
tollLanesOperatedBy
Indicates that the specified toll lanes are managed, controlled, or operated by the referenced operator or organization.
-
B.
tollRoadOf
Indicates that a road segment is a toll road belonging to or associated with a particular roadway, route, or transportation network.
-
C.
roadOperator
chosen
Indicates that one entity is responsible for operating, managing, or maintaining a particular road or road network.
-
D.
tollingAuthority
Indicates the entity that has the authority to impose, collect, or manage a toll on a given route, facility, or service.
-
E.
tollFacilityName
Indicates the name assigned to a toll facility where tolls are collected.
- 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_69f34915a2588190bb3178f5ec2f48f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6be602eec8190961d92f4db7d94a7 |
completed | May 3, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:49 a.m.