Triple
T33132640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | حمدان بن محمد بن راشد آل مكتوم |
E847915
|
entity |
| Predicate | تاريخ تولي المنصب |
P1814
|
FINISHED |
| Object | 1 فبراير 2008 |
—
|
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: 1 فبراير 2008 | Statement: [حمدان بن محمد بن راشد آل مكتوم, تاريخ تولي المنصب, 1 فبراير 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تاريخ تولي المنصب Context triple: [حمدان بن محمد بن راشد آل مكتوم, تاريخ تولي المنصب, 1 فبراير 2008]
-
A.
timeInOfficeBeginsIn
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
-
B.
tookOfficeDuring
Indicates that one entity assumed or held an official position within the time period defined by another entity or event.
-
C.
officeHolderStartTime
chosen
Indicates the date and time at which an individual begins holding a particular office or position.
-
D.
termOfOfficeInaugurated
Indicates the event or date on which an individual officially begins their term of office through an inauguration.
-
E.
startTimeAsLieutenantGovernor
Indicates the date and time at which an individual began serving in the role of lieutenant 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_69f3495961d88190b16ea542c2c5f825 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:27 a.m.