Triple
T28573996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lufthansa heist |
E723184
|
entity |
| Predicate | approximateValueUSD |
P52574
|
FINISHED |
| Object | 6000000 |
—
|
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: 6000000 | Statement: [Lufthansa heist, approximateValueUSD, 6000000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateValueUSD Context triple: [Lufthansa heist, approximateValueUSD, 6000000]
-
A.
valueInUSD
chosen
Indicates that a given amount or asset is expressed or evaluated in terms of its monetary value in United States dollars (USD).
-
B.
valueInZloty
Indicates that one entity represents the monetary value of another entity expressed in Polish zloty (PLN).
-
C.
conversionCostCurrency
Indicates the currency in which the cost of a conversion or transformation is denominated.
-
D.
valueInPhilippinePeso
Indicates the monetary value of something expressed in Philippine pesos as the unit of currency.
-
E.
valueInCedi
Indicates that something has a specified monetary value expressed in Ghanaian cedis.
- 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 28, 2026, 4:11 a.m.