Triple
T9284201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Earthshot Prize |
E223143
|
entity |
| Predicate | hasTotalAnnualPrizeFund |
P72606
|
FINISHED |
| Object | 5000000 GBP |
—
|
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: 5000000 GBP | Statement: [The Earthshot Prize, hasTotalAnnualPrizeFund, 5000000 GBP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTotalAnnualPrizeFund Context triple: [The Earthshot Prize, hasTotalAnnualPrizeFund, 5000000 GBP]
-
A.
peakAnnualFunding
Indicates the maximum amount of funding an entity receives in a single year within a given period.
-
B.
prizeFundType
Indicates the type or category of a prize fund associated with an award, competition, or financial pool.
-
C.
typicalAwardAmount
Indicates the usual or most common amount of an award given in this relationship.
-
D.
awardAmount
Indicates the specific quantity or value of an award that is granted in the context of a particular awarding event or relationship.
-
E.
hasPrizeMoney
chosen
Indicates that an entity awards, offers, or is associated with a specified amount of prize money.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081e72988190917f425e64631837 |
completed | April 1, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:34 p.m.