Triple
T8143597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Late Plato |
E190153
|
entity |
| Predicate | periodInPlatoScholarship |
P80924
|
FINISHED |
| Object | late dialogues period |
—
|
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: late dialogues period | Statement: [Late Plato, periodInPlatoScholarship, late dialogues period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodInPlatoScholarship Context triple: [Late Plato, periodInPlatoScholarship, late dialogues period]
-
A.
scholarshipType
Indicates the specific category or kind of scholarship associated with an entity.
-
B.
scholarshipEquivalency
Indicates that one scholarship is considered equal in value, coverage, or benefit to another scholarship or financial award.
-
C.
honoursPeriod
Indicates the time span during which an honour, award, or recognition is valid, held, or in effect for an entity.
-
D.
associatedScholarship
Indicates a relationship where a scholarship is linked or connected to a particular entity (such as a person, program, or institution).
-
E.
primaryDurationOfStudy
Indicates the main length of time allocated or required for a particular course of study or educational program.
- F. None of above. chosen
Provenance (4 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4444bb248190beaaa2ce4b8f3eaa |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39d20e78819092ea9e04357be008 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:36 p.m.