Triple
T14950989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bujar Nishani |
E372791
|
entity |
| Predicate | leftOfficeAsPresidentOn |
P171
|
FINISHED |
| Object | 2017-07-24 |
—
|
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: 2017-07-24 | Statement: [Bujar Nishani, leftOfficeAsPresidentOn, 2017-07-24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leftOfficeAsPresidentOn Context triple: [Bujar Nishani, leftOfficeAsPresidentOn, 2017-07-24]
-
A.
leftOfficeAsVicePresident
Indicates that an individual ceased holding the position of vice president, marking the end of their term in that office.
-
B.
leftOffice
chosen
Indicates that an entity ceased holding or performing the duties of a particular office or position.
-
C.
partOfPresidency
Indicates that an event, action, or role occurred during and within the scope of a specific individual's term in office as president.
-
D.
rightOfPresident
Indicates that one entity is positioned to the right side of the president in a spatial or ordering context.
-
E.
officeAssumedAsPresidentFollowing
Indicates that one entity assumed the office of president immediately after another entity, in a direct succession.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded690f2e08190ad9dad6dc05a164a |
completed | April 15, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:39 a.m.