Triple
T1838114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Ethiopia |
E41111
|
entity |
| Predicate | incumbentGender |
P33965
|
FINISHED |
| Object | female |
—
|
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: female | Statement: [President of Ethiopia, incumbentGender, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incumbentGender Context triple: [President of Ethiopia, incumbentGender, female]
-
A.
incumbent
Indicates that an entity currently holds a particular position, office, or role at the present time.
-
B.
lastIncumbent
Indicates that the subject is the most recent person or entity to have held a particular position, office, or role before the current one.
-
C.
incumbentOpponent
Indicates that one entity is the current officeholder while the other is their electoral challenger for that same position.
-
D.
incumbentBeforeElection
Indicates that the subject was already holding the relevant office or position prior to the specified election.
-
E.
majorityLeaderOfTheHouse
Indicates that the subject serves as the primary elected leader of the majority party in a legislative house, responsible for managing its agenda and floor activities.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafd88ebc81908208394746351fe6 |
completed | March 7, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69abb32a8d548190a231c7c2ce276a5e |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:33 p.m.