Triple
T27628438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MSc in International Relations |
E696271
|
entity |
| Predicate | typicalEntryBackground |
P4566
|
FINISHED |
| Object | political science graduates |
—
|
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: political science graduates | Statement: [MSc in International Relations, typicalEntryBackground, political science graduates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEntryBackground Context triple: [MSc in International Relations, typicalEntryBackground, political science graduates]
-
A.
typicalBackground
chosen
Indicates that an entity has a usual or commonly expected background, context, or setting associated with it.
-
B.
typicalEntryType
Indicates the usual or standard category or kind of entry associated with something.
-
C.
commonBackgroundColors
Indicates that two or more entities share the same or very similar background color.
-
D.
backColor
Indicates the background color attribute assigned to an entity or visual element.
-
E.
typicalEntryList
Indicates a relationship where an entity is associated with a standard or representative list of entries that are commonly or normally linked to 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_69ef59092c8881908114ad184248cc46 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69ffe613c03481909f3043ec8bf0bed9 |
completed | May 10, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69ffe4a73fb4819091600725a443981a |
completed | May 10, 2026, 1:51 a.m. |
Created at: April 27, 2026, 2:19 p.m.