Triple
T9684680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yawuru people |
E234374
|
entity |
| Predicate | haveTraditionalLaw |
P9797
|
FINISHED |
| Object | Yawuru 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: Yawuru customary law | Statement: [Yawuru people, haveTraditionalLaw, Yawuru customary law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveTraditionalLaw Context triple: [Yawuru people, haveTraditionalLaw, Yawuru customary law]
-
A.
hasLawTradition
Indicates that one legal system, jurisdiction, or entity follows or is based on a particular legal tradition or family of law.
-
B.
haveCivilLaw
Indicates that an entity is subject to, governed by, or operates under a civil law legal system.
-
C.
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.
-
D.
hasTraditionIn
Indicates that a particular tradition, custom, or longstanding practice is present, observed, or established within a specified place, group, or context.
-
E.
legalTraditionInfluenced
Indicates that one legal tradition has had a formative or shaping influence on the development, principles, or practices of another legal tradition.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9cd0877c81909fde1989d946aae9 |
completed | April 1, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b840f081909f66bf0b66d17d9b |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:16 p.m.