Triple
T28991332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rich Energy |
E736031
|
entity |
| Predicate | currencyOfSponsorship |
P193471
|
FINISHED |
| Object | US dollar |
—
|
NE NERFINISHED |
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: US dollar | Statement: [Rich Energy, currencyOfSponsorship, US dollar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyOfSponsorship Context triple: [Rich Energy, currencyOfSponsorship, US dollar]
-
A.
monetaryValueSponsor
Indicates that a sponsor provides or assigns a specific monetary value (amount of funding) to another entity or activity.
-
B.
prizeMoneyCurrency
Indicates the currency in which the prize money is denominated or paid.
-
C.
sponsorshipName
Indicates the name or title associated with a sponsorship relationship between entities.
-
D.
prizeSponsor
Indicates that an entity provides financial or material support as the sponsor of a particular prize or award.
-
E.
sponsoringOrganizationType
Indicates the kind or category of organization that provides sponsorship or support in the described relationship or activity.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69fd485e0c20819099756b4fe39ac326 |
completed | May 8, 2026, 2:20 a.m. |
Created at: April 28, 2026, 9:26 a.m.