Triple
T26625125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Mitch |
E668319
|
entity |
| Predicate | peakLocation |
P152281
|
FINISHED |
| Object | western Caribbean Sea |
—
|
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: western Caribbean Sea | Statement: [Hurricane Mitch, peakLocation, western Caribbean Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakLocation Context triple: [Hurricane Mitch, peakLocation, western Caribbean Sea]
-
A.
peakCategoryLocation
Indicates the specific geographic location associated with a particular peak category.
-
B.
peakIntensityLocation
chosen
Indicates the specific position or region where the intensity of a measured quantity reaches its maximum value.
-
C.
peakType
Indicates the specific classification or category of a peak based on its form, prominence, or other defining characteristics.
-
D.
peakCategory
Indicates the classification or type of peak an entity belongs to, such as its rank, prominence, or categorical grouping among peaks.
-
E.
peakRating
Indicates the highest rating value that has been achieved or recorded for an entity over a given period or context.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f615e831d88190bbc27081f6ce15b2 |
completed | May 2, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:22 a.m.