Triple
T9445966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico Beach, Florida |
E227764
|
entity |
| Predicate | coastalHazard |
P64363
|
FINISHED |
| Object | hurricane storm surge risk |
—
|
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: hurricane storm surge risk | Statement: [Mexico Beach, Florida, coastalHazard, hurricane storm surge risk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coastalHazard Context triple: [Mexico Beach, Florida, coastalHazard, hurricane storm surge risk]
-
A.
hasCoastalRisk
chosen
Indicates that an entity is exposed to potential hazards or adverse impacts associated with coastal environments, such as flooding, erosion, or storm surge.
-
B.
coastalProtection
Indicates measures or actions taken to preserve, defend, or stabilize coastal areas against erosion, flooding, or other marine-related impacts.
-
C.
coastalInteraction
Indicates an interaction or relationship occurring between entities and a coastal environment, such as along shorelines or near the sea.
-
D.
isCoastalCommunity
Indicates that a community is located along a coast or shoreline and is directly associated with a nearby sea or ocean.
-
E.
hasTsunamiRisk
Indicates that the subject is exposed to or associated with a potential risk of tsunamis.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f33deb88190bc74968575963ac4 |
completed | April 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69cca5596ffc819097e9c8eefd4ef9b8 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:51 p.m.