Triple
T23699125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yabucoa, Puerto Rico |
E585538
|
entity |
| Predicate | firstLandfallOf |
P48069
|
FINISHED |
| Object | Hurricane Maria |
—
|
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: Hurricane Maria | Statement: [Yabucoa, Puerto Rico, firstLandfallOf, Hurricane Maria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLandfallOf Context triple: [Yabucoa, Puerto Rico, firstLandfallOf, Hurricane Maria]
-
A.
firstLandfallBy
chosen
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.
firstLandfallYear
Indicates the calendar year in which something (typically a storm or similar event) first makes landfall.
-
C.
firstLandfallRegion
Indicates the geographic region where something, typically a moving object like a storm or vessel, first makes landfall after being over water.
-
D.
dateOfLandfall
Indicates the specific calendar date on which a storm or similar event first makes landfall at a particular location.
-
E.
firstCategory5LandfallDate
Indicates the date on which a storm first reached Category 5 intensity at 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_69e24904bd508190abfcb74855de2918 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b6804970819083d4e63caa93ae4e |
completed | April 29, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:53 p.m.