Triple
T38060039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trafalgar Square Norwegian Christmas Tree |
E950315
|
entity |
| Predicate | reasonForGift |
P87160
|
FINISHED |
| Object | gratitude for British support to Norway during World War II |
—
|
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: gratitude for British support to Norway during World War II | Statement: [Trafalgar Square Norwegian Christmas Tree, reasonForGift, gratitude for British support to Norway during World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForGift Context triple: [Trafalgar Square Norwegian Christmas Tree, reasonForGift, gratitude for British support to Norway during World War II]
-
A.
giftReason
chosen
Indicates the reason or motivation behind giving a gift from one entity to another.
-
B.
giftWas
Indicates that one entity gave another entity a gift at some point in time.
-
C.
giftType
Indicates the specific category or kind of gift involved in the relationship or transaction.
-
D.
giftBrought
Indicates that one entity brought or presented a gift to another entity.
-
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.
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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe6b7c785c8190aaab06019f571434 |
completed | May 8, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fe68edef20819081c77f9607b944dd |
completed | May 8, 2026, 10:51 p.m. |
Created at: May 3, 2026, 4:21 p.m.