Triple
T36273684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2023 Marrakesh–Safi earthquake |
E892742
|
entity |
| Predicate | deadliestInCountrySince |
P30647
|
FINISHED |
| Object | 1960 Agadir earthquake |
—
|
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: 1960 Agadir earthquake | Statement: [2023 Marrakesh–Safi earthquake, deadliestInCountrySince, 1960 Agadir earthquake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deadliestInCountrySince Context triple: [2023 Marrakesh–Safi earthquake, deadliestInCountrySince, 1960 Agadir earthquake]
-
A.
deadliestIn
chosen
Indicates that something has the highest lethality or causes the most deaths within a specified context, group, or location.
-
B.
notableDeathTollEvent
Indicates that an event is characterized by causing an unusually large or historically significant number of deaths.
-
C.
deathToll
Indicates the number of deaths resulting from a particular event, situation, or cause.
-
D.
causedFatalities
Indicates that the referenced event or action directly resulted in one or more deaths.
-
E.
deathTollEstimate
Indicates an estimated number of deaths attributed to a particular event, cause, or period.
- 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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.