Triple
T325018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thurgood Marshall College Fund |
E6494
|
entity |
| Predicate | hasCoreActivity |
P4153
|
FINISHED |
| Object | fundraising for scholarships |
—
|
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: fundraising for scholarships | Statement: [Thurgood Marshall College Fund, hasCoreActivity, fundraising for scholarships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoreActivity Context triple: [Thurgood Marshall College Fund, hasCoreActivity, fundraising for scholarships]
-
A.
hasKeyActivity
chosen
Indicates that an entity is associated with or performs a primary or central activity.
-
B.
hasMissionActivity
Indicates that an entity is associated with, performs, or is involved in a specific mission-related activity.
-
C.
hasCurrent
Indicates that an entity presently possesses, exhibits, or is associated with a particular state, attribute, or resource at the current time.
-
D.
hasCP
Indicates that an entity possesses, is associated with, or is characterized by a specific CP (such as a control point, contact person, or configuration parameter), depending on the domain context.
-
E.
hasInteraction
Indicates that there is some form of interaction or mutual action occurring between the related entities.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb1a37c08190b1380f6bf8513a37 |
completed | Feb. 28, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69a2e949364c8190bc2351f5413f5057 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.