Triple
T35860182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida |
E1036923
|
entity |
| Predicate | borderLengthCoastline |
P85465
|
FINISHED |
| Object | one of the longest in the contiguous United States |
—
|
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: one of the longest in the contiguous United States | Statement: [Florida, borderLengthCoastline, one of the longest in the contiguous United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderLengthCoastline Context triple: [Florida, borderLengthCoastline, one of the longest in the contiguous United States]
-
A.
hasCoastlineLengthApprox
Indicates an approximate measurement of the total length of an entity’s coastline.
-
B.
shorelineLength
Indicates the total measured extent of a land area’s boundary where it meets a body of water.
-
C.
maritimeBoundaryLengthApproxKm
Indicates the approximate length, measured in kilometers, of a state's maritime boundary or coastline.
-
D.
hasCoastlineLengthRank
chosen
Indicates the relative position of an entity in an ordered ranking based on the length of its coastline.
-
E.
countryCoastlineOf
Indicates that a country has the specified coastline as part of its national territory or boundary.
- 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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffb97b8ff8819088b105d99a0820c9 |
completed | May 9, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69ffb88ef7388190a710120ed76edc0e |
completed | May 9, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:06 p.m.