Triple
T21106016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Epsilon |
E520044
|
entity |
| Predicate | didNotMakeLandfall |
P142871
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Hurricane Epsilon, didNotMakeLandfall, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: didNotMakeLandfall Context triple: [Hurricane Epsilon, didNotMakeLandfall, true]
-
A.
firstLandfallBy
Indicates the location or entity where something (typically a storm, traveler, or object) initially makes landfall or first arrives from a journey over water or air.
-
B.
dateOfLandfall
Indicates the specific calendar date on which a storm or similar event first makes landfall at a particular location.
-
C.
lastStormDissipated
Indicates that the most recent storm in a given context has ended and lost its organized structure or intensity.
-
D.
firstLandfallRegion
Indicates the geographic region where something, typically a moving object like a storm or vessel, first makes landfall after being over water.
-
E.
reachedHurricaneStatusOn
Indicates the date or time at which a storm system intensified enough to be classified as a hurricane.
- F. None of above. chosen
Provenance (4 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b62301c819082cfc6cb3cd11c8c |
completed | April 21, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:53 p.m.