Triple
T10857277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Lottery Heritage Fund |
E256298
|
entity |
| Predicate | grantCurrency |
P8142
|
FINISHED |
| Object | 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: GBP | Statement: [National Lottery Heritage Fund, grantCurrency, GBP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantCurrency Context triple: [National Lottery Heritage Fund, grantCurrency, GBP]
-
A.
awardCurrency
Indicates that one entity grants or gives a specified amount of currency to another entity.
-
B.
carriesMonetaryGrant
chosen
Indicates that one entity provides or includes a monetary grant for another entity or purpose.
-
C.
grantsCreditFor
Indicates that one entity recognizes or awards academic or other formal credit to another entity for a specific activity, course, or achievement.
-
D.
hasMonetaryGrant
Indicates that an entity provides or receives a monetary grant from another entity.
-
E.
grantUse
Indicates that one entity gives another entity permission or authorization to use something.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751377da88190a7244bb9d6b0c2ec |
completed | April 9, 2026, 7:11 a.m. |
| PD | Predicate disambiguation | batch_69d70d308dfc81908792f98cfb871392 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.