Triple
T18389152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civil Courage Prize |
E449674
|
entity |
| Predicate | monetaryValueOfCitation |
P130940
|
FINISHED |
| Object | 10000 USD |
—
|
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: 10000 USD | Statement: [Civil Courage Prize, monetaryValueOfCitation, 10000 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monetaryValueOfCitation Context triple: [Civil Courage Prize, monetaryValueOfCitation, 10000 USD]
-
A.
citationNumber
Indicates the specific numeric identifier assigned to a citation within a document or reference list.
-
B.
citationOf
Indicates that one entity cites, references, or formally acknowledges another entity as a source.
-
C.
citationIn
Indicates that one work cites, references, or otherwise acknowledges another work as a source.
-
D.
hasCitationCount
Indicates that an entity (such as a publication) is associated with a specific number representing how many times it has been cited.
-
E.
hasCitationInformation
Indicates that an entity is associated with specific citation details, such as source, reference, or bibliographic information.
- F. None of above. chosen
Provenance (4 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e51840884c81908e84e9206b4739ee |
completed | April 19, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a1bda48190a9cd1db436d4be62 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:46 a.m.