Triple
T32240758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senussi dynasty |
E823604
|
entity |
| Predicate | monarchicalPeriodStart |
P177595
|
FINISHED |
| Object | 1951 |
—
|
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: 1951 | Statement: [Senussi dynasty, monarchicalPeriodStart, 1951]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchicalPeriodStart Context triple: [Senussi dynasty, monarchicalPeriodStart, 1951]
-
A.
previousMonarchReignStart
Indicates that the subject is the monarch whose reign began immediately before the start of the object monarch’s reign.
-
B.
monarchyEstablished
Indicates that a monarchical form of government has been formally created or instituted for a given entity or territory.
-
C.
firstMonarchOfCurrentDynastyReignStart
Indicates the date or time when the reign of the first monarch of the current ruling dynasty began.
-
D.
currentMonarchStart
Indicates the date or point in time when the current monarch’s reign began.
-
E.
secondMonarchStart
Indicates the point in time when the reign of a second monarch in a sequence begins.
- 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_69f3490c140481908ed53b98b561eaa1 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 12:40 a.m.