Triple
T26625087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Mitch |
E668319
|
entity |
| Predicate | rankByIntensityAtlantic |
P23036
|
FINISHED |
| Object | among strongest on record in Atlantic |
—
|
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: among strongest on record in Atlantic | Statement: [Hurricane Mitch, rankByIntensityAtlantic, among strongest on record in Atlantic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByIntensityAtlantic Context triple: [Hurricane Mitch, rankByIntensityAtlantic, among strongest on record in Atlantic]
-
A.
rankByAtlanticHurricaneIntensity
chosen
Indicates the ordering of entities based on the strength or severity of Atlantic hurricanes associated with them.
-
B.
rankAmongUSLandfallsByPressure
Indicates the storm’s position in the ordered list of U.S. landfalling storms when ranked by minimum central pressure at landfall.
-
C.
rankAmongDeadliestCyclones
Indicates how a cyclone is positioned or ordered in terms of its deadliness relative to other cyclones.
-
D.
strongestStorm
Indicates that one storm is the most intense or powerful compared to a set of other storms.
-
E.
landfallIntensity
Indicates the strength or magnitude of a storm system at the time and location where it first makes landfall.
- 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.