Triple
T14153066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omar Abdirashid Ali Sharmarke |
E350734
|
entity |
| Predicate | officeAssumedForTheSecondTimeAsPrimeMinisterOfSomalia |
P100729
|
FINISHED |
| Object | 2014-12-24 |
—
|
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: 2014-12-24 | Statement: [Omar Abdirashid Ali Sharmarke, officeAssumedForTheSecondTimeAsPrimeMinisterOfSomalia, 2014-12-24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeAssumedForTheSecondTimeAsPrimeMinisterOfSomalia Context triple: [Omar Abdirashid Ali Sharmarke, officeAssumedForTheSecondTimeAsPrimeMinisterOfSomalia, 2014-12-24]
-
A.
secondSupremeLeader
Indicates that the subject is the second individual to hold the position of supreme leader of the object entity.
-
B.
assumedOfficeAsPremier
chosen
Indicates that an individual formally took up and began serving in the role of premier.
-
C.
officeAssumedAsPresidentFollowing
Indicates that one entity assumed the office of president immediately after another entity, in a direct succession.
-
D.
succeededByInOfficePresidentOfMalta
Indicates that one individual directly followed another as President of Malta in official office.
-
E.
officeEnd as Prime Minister of Tunisia
Indicates the date or point in time when an individual’s tenure as Prime Minister of Tunisia comes to an end.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6133754881908e1e97db71772deb |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:57 a.m.