Triple
T4784139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somali people |
E106434
|
entity |
| Predicate | commonLawSystem |
P16986
|
FINISHED |
| Object | Xeer (Somali customary 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: Xeer (Somali customary law) | Statement: [Somali people, commonLawSystem, Xeer (Somali customary law)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonLawSystem Context triple: [Somali people, commonLawSystem, Xeer (Somali customary law)]
-
A.
legalSystem
Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
-
B.
separateLegalSystem
Indicates that one entity maintains its own distinct and independent legal system from another entity.
-
C.
relatedLegalSystem
chosen
Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
-
D.
legalSystemDepictedAs
Indicates that one entity portrays, represents, or characterizes a legal system in a particular way or form.
-
E.
partOfLegalSystem
Indicates that something belongs to, is included within, or functions as a component of a particular legal system.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.