Triple
T32470113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weill family |
E829825
|
entity |
| Predicate | hasMajorDonationArea |
P150163
|
FINISHED |
| Object | higher education |
—
|
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: higher education | Statement: [Weill family, hasMajorDonationArea, higher education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorDonationArea Context triple: [Weill family, hasMajorDonationArea, higher education]
-
A.
hasDonationsFrom
Indicates that an entity receives donations or contributions from another entity.
-
B.
notableGrantArea
chosen
Indicates that an entity is recognized for providing significant grants or funding within a particular area or field.
-
C.
hasDonationsDirected
Indicates that donations are purposefully allocated or directed from one entity to another or toward a specific target or cause.
-
D.
hasAwardedArea
Indicates that one entity has formally granted or designated a specific area or territory to another entity.
-
E.
hasMajorCommunity
Indicates that an entity possesses a primary or significantly large community associated with it.
- 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a008ebb22408190a2293bced40a7e53 |
completed | May 10, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_6a008e8715dc8190ab23292605901bf4 |
completed | May 10, 2026, 1:56 p.m. |
Created at: May 1, 2026, 12:57 a.m.