Triple
T6265037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Maria |
E140391
|
entity |
| Predicate | stormSurgeImpact |
P50010
|
FINISHED |
| Object | damaging storm surge along Puerto Rico’s coast |
—
|
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: damaging storm surge along Puerto Rico’s coast | Statement: [Hurricane Maria, stormSurgeImpact, damaging storm surge along Puerto Rico’s coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stormSurgeImpact Context triple: [Hurricane Maria, stormSurgeImpact, damaging storm surge along Puerto Rico’s coast]
-
A.
stormSurgeHeight_feet
Indicates the height of the storm surge, measured in feet, typically above a defined reference level such as normal tide.
-
B.
maximumStormSurgeHeight
Indicates the greatest vertical height reached by storm-driven sea water above a defined reference level during a storm event.
-
C.
floodConsequence
chosen
Indicates the resulting effects, outcomes, or impacts that occur as a consequence of a flood event.
-
D.
waveHeightsCanReach
Indicates that the heights of waves are capable of attaining or reaching a specified magnitude or level.
-
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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0639e64588190875e4e1e772fb336 |
completed | March 22, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:25 p.m.