Triple
T22299103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida State Road 985 |
E551204
|
entity |
| Predicate | hasTropicalClimateAlongRoute |
P193
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Florida State Road 985, hasTropicalClimateAlongRoute, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTropicalClimateAlongRoute Context triple: [Florida State Road 985, hasTropicalClimateAlongRoute, yes]
-
A.
isTropical
Indicates that something belongs to, occurs in, or is characteristic of tropical regions or climates.
-
B.
hasTropicOfCancerCrossing
Indicates that the specified entity is geographically intersected or crossed by the Tropic of Cancer.
-
C.
hasTropicalCyclones
Indicates that the specified region or area experiences tropical cyclones as part of its typical weather or climate conditions.
-
D.
hasClimate
chosen
Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
-
E.
hasSeaRouteConnection
Indicates that there exists a navigable maritime route linking two locations or entities.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15722c3348190b63eb49764ef132d |
completed | April 29, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69e72ffa438481908f80879aef2a589b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:41 p.m.