Triple
T1939930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zawiya |
E41528
|
entity |
| Predicate | governorateLevel |
P1085
|
FINISHED |
| Object | district capital |
—
|
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: district capital | Statement: [Zawiya, governorateLevel, district capital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorateLevel Context triple: [Zawiya, governorateLevel, district capital]
-
A.
governorateType
Indicates the specific classification or category of a governorate within an administrative or governmental hierarchy.
-
B.
levelOfGovernment
chosen
Indicates the specific tier or layer within a governmental hierarchy (e.g., local, regional, national) at which an entity operates or an action is taken.
-
C.
hasLieutenantGovernor
Indicates that one entity serves as the lieutenant governor of another entity (typically a state, province, or territory).
-
D.
governingBodyLevel
Indicates the hierarchical level or tier at which a governing body operates within a political or organizational structure.
-
E.
includesGovernorate
Indicates that one administrative region or entity contains or encompasses a governorate within its boundaries.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff25a588190bb4cbc8df9fc6d64 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.