Triple
T17107668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | باي تونس |
E415142
|
entity |
| Predicate | جزءمن |
P87889
|
FINISHED |
| Object | النظام السياسي في تونس العثمانية |
—
|
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: النظام السياسي في تونس العثمانية | Statement: [باي تونس, جزءمن, النظام السياسي في تونس العثمانية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: جزءمن Context triple: [باي تونس, جزءمن, النظام السياسي في تونس العثمانية]
-
A.
partOfType
Indicates that one entity represents a component, segment, or subset that belongs to or is included within the type or category represented by another entity.
-
B.
partOfSingle
Indicates that one entity is a component or member of exactly one specific whole or collection, and not shared among multiple such wholes.
-
C.
partlyConsistsOf
Indicates that one entity is composed in part, but not entirely, of another entity.
-
D.
structurePartOf
chosen
Indicates that one structure is a constituent or component of a larger, encompassing structure.
-
E.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc280b0c8190b9e620b90e0d4b40 |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.