Triple
T4929299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Imperial Presidency |
E110652
|
entity |
| Predicate | coinedOrPopularizedTerm |
P118
|
FINISHED |
| Object | imperial presidency |
—
|
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: imperial presidency | Statement: [The Imperial Presidency, coinedOrPopularizedTerm, imperial presidency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coinedOrPopularizedTerm Context triple: [The Imperial Presidency, coinedOrPopularizedTerm, imperial presidency]
-
A.
coinedTerm
chosen
Indicates that an entity originated and introduced a particular term or expression into use.
-
B.
conceptCoinedFromName
Indicates that a concept was created or derived from a specific person's name.
-
C.
popularizedBy
Indicates that something became widely known, accepted, or fashionable as a result of the influence or actions of a particular agent.
-
D.
ideologyCoined
Indicates that one entity originated, formulated, or first introduced a particular ideology.
-
E.
popularEtymology
Indicates that an etymological explanation is based on common belief or folk interpretation rather than on historically or linguistically accurate origins.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7038c12c81908a793b4a8768c28a |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.