Triple
T3655744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darumbal people |
E77524
|
entity |
| Predicate | hasCustomaryLaw |
P9797
|
FINISHED |
| Object | Darumbal 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: Darumbal customary law | Statement: [Darumbal people, hasCustomaryLaw, Darumbal customary law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCustomaryLaw Context triple: [Darumbal people, hasCustomaryLaw, Darumbal 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.
hasOwnCanonLawParticularLaw
Indicates that an entity possesses its own specific set of canon or particular laws distinct from general or universal church law.
-
C.
hasLawTradition
Indicates that one legal system, jurisdiction, or entity follows or is based on a particular legal tradition or family of law.
-
D.
separateLegalSystem
Indicates that one entity maintains its own distinct and independent legal system from another entity.
-
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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3baf57c8190b72b5d1b910d9db6 |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb84650148190bf79231105e58d7f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.