Triple
T29577260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European migrant crisis |
E753475
|
entity |
| Predicate | approximateNumberOfDeathsInMediterranean2015 |
P700
|
FINISHED |
| Object | over 3700 |
—
|
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: over 3700 | Statement: [European migrant crisis, approximateNumberOfDeathsInMediterranean2015, over 3700]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateNumberOfDeathsInMediterranean2015 Context triple: [European migrant crisis, approximateNumberOfDeathsInMediterranean2015, over 3700]
-
A.
deathTollEstimate
chosen
Indicates an estimated number of deaths attributed to a particular event, cause, or period.
-
B.
deathToll
Indicates the number of deaths resulting from a particular event, situation, or cause.
-
C.
cityCasualtiesEstimate
Indicates an estimated number of casualties associated with a particular city in a given event or context.
-
D.
deathTollRanking
Indicates the relative position of an event or entity when ordered by the number of deaths it caused, typically from highest to lowest.
-
E.
estimatedNumberOfRomaVictims
Indicates the estimated number of Roma individuals who were victims in a specified event or context.
- 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: April 28, 2026, 6:04 p.m.