Triple
T37481964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian Cattle Dog |
E931434
|
entity |
| Predicate | groupInANKC |
P188381
|
FINISHED |
| Object | Group 5 (Working Dogs) |
—
|
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: Group 5 (Working Dogs) | Statement: [Australian Cattle Dog, groupInANKC, Group 5 (Working Dogs)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: groupInANKC Context triple: [Australian Cattle Dog, groupInANKC, Group 5 (Working Dogs)]
-
A.
groupWithin
Indicates that one group is contained or nested as a subgroup within another, larger group.
-
B.
groups
Indicates that one entity organizes, clusters, or associates multiple entities together as members of a collective set or category.
-
C.
allyGroup
Indicates that two or more entities belong to the same allied group or faction, cooperating or aligned in purpose or interests.
-
D.
groupTogether
Indicates that multiple entities are treated or arranged as a single collective unit or set.
-
E.
groupFormedPartOf
Indicates that a group was formed as a constituent or subset of a larger group or organization.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba67f78348190ab160988e4698394 |
completed | May 6, 2026, 8:37 p.m. |
Created at: May 3, 2026, 4:17 p.m.