Triple
T2249438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nneka Ogwumike |
E49581
|
entity |
| Predicate | termAsWNBPAPresidentStart |
P14209
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Nneka Ogwumike, termAsWNBPAPresidentStart, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termAsWNBPAPresidentStart Context triple: [Nneka Ogwumike, termAsWNBPAPresidentStart, 2016]
-
A.
termStartAsActingGovernor
Indicates that a person’s term in office began while they were serving in the capacity of an acting governor rather than as a fully appointed or elected governor.
-
B.
timeInOfficeBeginsIn
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
-
C.
presidentTermStart
chosen
Indicates the date or point in time when an individual officially begins serving as president of an entity.
-
D.
termStartAsVicePresident
Indicates that an entity begins its term in office holding the position of vice president.
-
E.
termStartAsGovernor
Indicates the date or point in time when an individual begins their term serving in the role of governor.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ef74988190a0af51d983cf5658 |
completed | March 7, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69abbdb160248190aa75b38f11ad8602 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.