Triple
T36295734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Henry VIII’s College |
E893358
|
entity |
| Predicate | typeOfFoundation |
P5179
|
FINISHED |
| Object | royal foundation |
—
|
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: royal foundation | Statement: [King Henry VIII’s College, typeOfFoundation, royal foundation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfFoundation Context triple: [King Henry VIII’s College, typeOfFoundation, royal foundation]
-
A.
foundedOrganizationType
chosen
Indicates that an entity established or created an organization of a specified type (e.g., company, nonprofit, institution).
-
B.
funderType
Indicates the category or kind of organization or individual that provides funding in the relationship.
-
C.
providedFoundationFor
Indicates that one entity served as the essential basis, support, or groundwork enabling the existence, development, or success of another entity or outcome.
-
D.
originalFoundationType
Indicates the type or nature of the initial foundational structure or base on which something was first established or built.
-
E.
nonprofitType
Indicates the specific category or classification of a nonprofit organization based on its legal or functional type.
- 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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0249374a8c8190ab19002a123da439 |
completed | May 11, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_6a02486194b08190a489ae3a8f4a59a9 |
completed | May 11, 2026, 9:21 p.m. |
Created at: May 3, 2026, 4:09 p.m.