Triple
T27537369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ndzuwani |
E695131
|
entity |
| Predicate | hasLegalSystemOfGoverningCountry |
P65627
|
FINISHED |
| Object | mixed civil and Islamic law |
—
|
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: mixed civil and Islamic law | Statement: [Ndzuwani, hasLegalSystemOfGoverningCountry, mixed civil and Islamic law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalSystemOfGoverningCountry Context triple: [Ndzuwani, hasLegalSystemOfGoverningCountry, mixed civil and Islamic law]
-
A.
countryOfLegalSystem
Indicates the relationship between a legal system and the country in which that legal system is officially established or applied.
-
B.
governedByLegalRegime
Indicates that an entity is subject to, regulated by, or operating under a specific legal framework or set of legal rules.
-
C.
hasLegalSystemType
chosen
Indicates that an entity possesses or is governed by a particular type or form of legal system.
-
D.
governingSystemCountry
Indicates that a particular system of governance is the ruling or official governing system used by a given country.
-
E.
usedLegalSystemOf
Indicates that one entity applied, followed, or operated under the legal system or body of laws belonging to another 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_69ef538608b081908b9f659bb09d5e0f |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 27, 2026, 1:29 p.m.