Triple
T10620745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Skjodt Assembly Hall |
E250191
|
entity |
| Predicate | namingGiftAmount |
P95014
|
FINISHED |
| Object | 40000000 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: 40000000 USD | Statement: [Simon Skjodt Assembly Hall, namingGiftAmount, 40000000 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namingGiftAmount Context triple: [Simon Skjodt Assembly Hall, namingGiftAmount, 40000000 USD]
-
A.
giftType
Indicates the specific category or kind of gift involved in the relationship or transaction.
-
B.
giftability
Indicates the degree to which something is suitable or appropriate to be given as a gift.
-
C.
giftBrought
Indicates that one entity brought or presented a gift to another entity.
-
D.
typeOfGift
Indicates the specific kind or category of gift involved in a giving or gifting relationship.
-
E.
personalGiftOf
Indicates that one entity has personally given another entity a gift, emphasizing a direct, individual act of gifting between them.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df70b0288190bf6edd705632ff02 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 8:49 p.m.