Triple
T25065972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibrahim Nasir |
E627784
|
entity |
| Predicate | governmentTypeTransitioned |
P19691
|
FINISHED |
| Object | from sultanate |
—
|
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: from sultanate | Statement: [Ibrahim Nasir, governmentTypeTransitioned, from sultanate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentTypeTransitioned Context triple: [Ibrahim Nasir, governmentTypeTransitioned, from sultanate]
-
A.
governmentTypeBefore
Indicates the form of government that existed for an entity prior to a specified change or later government type.
-
B.
replacedGovernment
Indicates that one government has been removed from power and substituted by another, typically through political, legal, or forceful means.
-
C.
typeOfRegimeChange
chosen
Indicates a change in the form, structure, or governing system of a political regime, such as transitions between different types of rule or authority.
-
D.
yearOfGovernmentChange
Indicates the specific year in which a government was replaced, overthrown, or otherwise changed.
-
E.
governmentTypeDuringPeriod
Indicates the form or system of government that was in effect for an entity during a specified time period.
- 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 18, 2026, 6:10 a.m.