Triple
T37212281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swazi people |
E922637
|
entity |
| Predicate | customaryLawSystem |
P9797
|
FINISHED |
| Object | Swazi 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: Swazi customary law | Statement: [Swazi people, customaryLawSystem, Swazi customary law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: customaryLawSystem Context triple: [Swazi people, customaryLawSystem, Swazi customary law]
-
A.
customaryLaw
chosen
Indicates that a relationship, behavior, or rule is governed by unwritten, traditional norms and practices recognized as binding within a community or group.
-
B.
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.
-
C.
usedLegalSystemOf
Indicates that one entity applied, followed, or operated under the legal system or body of laws belonging to another entity.
-
D.
civilLawBasedOn
Indicates that a civil law, legal system, or legal provision is derived from, grounded in, or significantly influenced by another specified source of law or legal framework.
-
E.
coexistingLegalTradition
Indicates that multiple legal traditions or systems exist and operate simultaneously within the same social or institutional context.
- 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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.