Triple
T18103028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greek Enlightenment |
E433277
|
entity |
| Predicate | mainlyConcernedWith |
P12980
|
FINISHED |
| Object | Greek-speaking populations of the Ottoman Empire |
—
|
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: Greek-speaking populations of the Ottoman Empire | Statement: [Greek Enlightenment, mainlyConcernedWith, Greek-speaking populations of the Ottoman Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainlyConcernedWith Context triple: [Greek Enlightenment, mainlyConcernedWith, Greek-speaking populations of the Ottoman Empire]
-
A.
primarilyEncompasses
Indicates that one entity mainly or predominantly includes, covers, or consists of another entity or set of entities.
-
B.
targetConcern
Indicates that something is the specific issue, problem, or subject that is the focus of attention, action, or consideration.
-
C.
concernedSee
Indicates that one entity looks at or observes another with a sense of worry, care, or concern.
-
D.
primaryTopicOf
chosen
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
E.
appliedPrimarilyTo
Indicates that something is used mainly or chiefly in relation to a particular target, context, or purpose, rather than being used broadly or equally elsewhere.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb7be948190b4ed4586f731d6f2 |
completed | April 19, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:28 a.m.