Triple
T24541895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regency of Ras Tafari Makonnen |
E607116
|
entity |
| Predicate | nominalMonarch |
P403
|
FINISHED |
| Object | Empress Zewditu I |
—
|
NE NERFINISHED |
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: Empress Zewditu I | Statement: [Regency of Ras Tafari Makonnen, nominalMonarch, Empress Zewditu I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nominalMonarch Context triple: [Regency of Ras Tafari Makonnen, nominalMonarch, Empress Zewditu I]
-
A.
monarchy
Indicates a system of governance in which supreme authority is vested in a single ruler, typically a king or queen, whose position is usually hereditary.
-
B.
monarch
chosen
Indicates that an entity serves as the sovereign ruler (such as a king, queen, or emperor) over a state or territory.
-
C.
monarchicalRole
Indicates that one entity holds or is assigned a specific position, function, or office within a monarchical system of governance.
-
D.
monarchIn
Indicates that a person serves as the ruling monarch of a specified country, state, or territory.
-
E.
monarchSheIsHeirTo
Indicates that the subject is the designated heir to the specified monarch’s throne or title.
- 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:26 a.m.