Triple
T24536607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USCG Air Station Clearwater |
E606966
|
entity |
| Predicate | roleInDisasters |
P103649
|
FINISHED |
| Object | hurricane response operations |
—
|
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 response operations | Statement: [USCG Air Station Clearwater, roleInDisasters, hurricane response operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInDisasters Context triple: [USCG Air Station Clearwater, roleInDisasters, hurricane response operations]
-
A.
roleInDisasterPrevention
Indicates that an entity has a specific function, responsibility, or involvement in activities aimed at preventing or mitigating disasters.
-
B.
roleInRescue
Indicates the specific function or responsibility an entity has within a rescue operation or event.
-
C.
roleInDisasterMovie
Indicates that an entity has a specific acting or production role in a disaster-themed movie.
-
D.
postDisasterRole
chosen
Indicates the role or function an entity assumes or performs in the aftermath of a disaster.
-
E.
roleInResidentEvilApocalypse
Indicates that an entity portrays a specific role or character in the film "Resident Evil: Apocalypse."
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:26 a.m.