Triple
T25104321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wik-Mungkan language |
E628824
|
entity |
| Predicate | isBetterDocumentedMemberOf |
P157647
|
FINISHED |
| Object | Pama–Nyungan family |
—
|
NE NERFINISHED |
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: Pama–Nyungan family | Statement: [Wik-Mungkan language, isBetterDocumentedMemberOf, Pama–Nyungan family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBetterDocumentedMemberOf Context triple: [Wik-Mungkan language, isBetterDocumentedMemberOf, Pama–Nyungan family]
-
A.
documentedFrom
Indicates that information about one entity is derived from, recorded in, or supported by another entity as its source of documentation.
-
B.
isWidelyDocumented
Indicates that extensive and accessible documentation or records exist about the subject across multiple reputable sources.
-
C.
documentedUsing
Indicates that something is recorded, described, or specified by means of a particular document, tool, or documentation method.
-
D.
documentedThrough
Indicates that something is recorded, evidenced, or made known by means of a specific document or documentation process.
-
E.
hasDocumentationAt
Indicates that something is documented or described in a specific document, file, or location.
- F. None of above. chosen
Provenance (4 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_69e2ff3071548190b62d1ac237397197 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f4656bddb4819088650eefd5ef837a |
completed | May 1, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
| PDg | Predicate description generation | batch_69f448fe11f08190bdd53ca7ba2d51e4 |
completed | May 1, 2026, 6:32 a.m. |
Created at: April 18, 2026, 6:26 a.m.