Triple
T36774167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jawuru people |
E908566
|
entity |
| Predicate | hasSocialOrganisation |
P194145
|
FINISHED |
| Object | clan-based structure |
—
|
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: clan-based structure | Statement: [Jawuru people, hasSocialOrganisation, clan-based structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSocialOrganisation Context triple: [Jawuru people, hasSocialOrganisation, clan-based structure]
-
A.
usesSocialOrganizationType
chosen
Indicates that an entity operates according to or is structured using a specified type of social organization.
-
B.
hasVolunteerOrganisation
Indicates that an entity is associated with or supported by a volunteer-based organisation.
-
C.
socialOrganizationDescribedBy
Indicates that a social organization is documented, characterized, or explained by a particular description or informational resource.
-
D.
hasCivicOrganization
Indicates that an entity is associated with, supported by, or contains a civic organization, such as a community, volunteer, or public-interest group.
-
E.
hasOrganizations
Indicates that an entity is associated with, linked to, or includes one or more organizations.
- 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_69f76e798aa08190ace31098d1b13e9f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: May 3, 2026, 4:12 p.m.