Triple
T16175599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Council of Oman |
E392556
|
entity |
| Predicate | hasChamberSelectionMethod |
P122003
|
FINISHED |
| Object | upper chamber appointed by the Sultan |
—
|
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: upper chamber appointed by the Sultan | Statement: [Council of Oman, hasChamberSelectionMethod, upper chamber appointed by the Sultan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChamberSelectionMethod Context triple: [Council of Oman, hasChamberSelectionMethod, upper chamber appointed by the Sultan]
-
A.
hasChamber
Indicates that one entity possesses, contains, or is associated with a distinct enclosed space or compartment (a chamber).
-
B.
hasChamberStructure
Indicates that an entity possesses a specific internal chamber or compartmentalized structural organization.
-
C.
hasChamberSize
Indicates a relationship where an entity is associated with, or characterized by, a specific size of a chamber or internal compartment.
-
D.
hasChamberNumber
Indicates that an entity is associated with a specific chamber identified by a particular number.
-
E.
hasChamberLength
Indicates the length measurement of a chamber associated with an entity.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21ebab54c81908d82dd6a26c406c2 |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:02 a.m.