Triple
T12300500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Karl Marx |
E293205
|
entity |
| Predicate | typicalMonetaryPrize |
P22091
|
FINISHED |
| Object | 20,000 East German marks |
—
|
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: 20,000 East German marks | Statement: [Order of Karl Marx, typicalMonetaryPrize, 20,000 East German marks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMonetaryPrize Context triple: [Order of Karl Marx, typicalMonetaryPrize, 20,000 East German marks]
-
A.
prizeMoneyCurrency
Indicates the currency in which the prize money is denominated or paid.
-
B.
typicalAwardAmount
chosen
Indicates the usual or most common amount of an award given in this relationship.
-
C.
prizeMoneyLevel
Indicates the relative amount or tier of monetary reward associated with a prize or award.
-
D.
hasPrizeMoney
Indicates that an entity awards, offers, or is associated with a specified amount of prize money.
-
E.
awardAmount
Indicates the specific quantity or value of an award that is granted in the context of a particular awarding event or relationship.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.