Triple
T31303964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulysses S. Grant |
E798282
|
entity |
| Predicate | educationStart |
P55233
|
FINISHED |
| Object | 1839 |
—
|
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: 1839 | Statement: [Ulysses S. Grant, educationStart, 1839]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationStart Context triple: [Ulysses S. Grant, educationStart, 1839]
-
A.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
B.
educationAccess
Indicates the extent to which an entity has the opportunity or ability to obtain education or educational resources.
-
C.
educationStartTime
chosen
Indicates the point in time when an educational activity, program, or enrollment for an entity begins.
-
D.
educationSetting
Indicates the type or context of the educational environment in which the related entity participates or operates.
-
E.
educationalHubFor
Indicates that one entity serves as a central place or resource for providing education, learning opportunities, or academic support to another entity.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 29, 2026, 9:14 p.m.