Triple
T411582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida International University |
E9499
|
entity |
| Predicate | hasEndowment |
P930
|
FINISHED |
| Object | over 200 million 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: over 200 million USD | Statement: [Florida International University, hasEndowment, over 200 million USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEndowment Context triple: [Florida International University, hasEndowment, over 200 million USD]
-
A.
endowment
chosen
Indicates that a resource, asset, or benefit is provided or allocated to an entity, typically as a lasting or dedicated funding source.
-
B.
hasWealthSource
Indicates that an entity derives its wealth or financial resources from a specified source.
-
C.
hadEstate
Indicates that an entity possessed or owned a particular estate or landed property.
-
D.
hasMonetaryGrant
Indicates that an entity provides or receives a monetary grant from another entity.
-
E.
endowmentCurrency
Indicates the type of currency in which an endowment is denominated or valued.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ed31681c8190ac32334562fb17fd |
completed | Feb. 28, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_69a2e9737694819080fde9adcc1aa4d4 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:09 p.m.