Triple
T8782034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess of Asturias Foundation |
E208752
|
entity |
| Predicate | hasAwardMonetaryComponent |
P20937
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Princess of Asturias Foundation, hasAwardMonetaryComponent, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardMonetaryComponent Context triple: [Princess of Asturias Foundation, hasAwardMonetaryComponent, yes]
-
A.
hasMonetaryGrant
Indicates that an entity provides or receives a monetary grant from another entity.
-
B.
hasMonetaryComponent
chosen
Indicates that something includes, involves, or is associated with a monetary or financial element.
-
C.
hasPrizeMoney
Indicates that an entity awards, offers, or is associated with a specified amount of prize money.
-
D.
hasAwardItem
Indicates that an entity possesses, is associated with, or has been granted a specific award item.
-
E.
monetaryReward
Indicates that one entity provides or promises a payment of money to another as compensation, incentive, or prize.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f7155b081908891e84b704f0ebf |
completed | March 31, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:42 p.m.