Triple
T37481975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian Cattle Dog |
E931434
|
entity |
| Predicate | typicalHeightMale_cm |
P60923
|
FINISHED |
| Object | 46–51 |
—
|
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: 46–51 | Statement: [Australian Cattle Dog, typicalHeightMale_cm, 46–51]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalHeightMale_cm Context triple: [Australian Cattle Dog, typicalHeightMale_cm, 46–51]
-
A.
averageMaleHeight
Indicates the typical or mean height value associated with male individuals in a given population or context.
-
B.
maleHeight
Indicates the height measurement associated with a male individual.
-
C.
maleHeightRangeCm
chosen
Indicates the range of body heights, measured in centimeters, that is characteristic or expected for males in a given context.
-
D.
averageBodyLengthMale
Indicates the typical or mean body length measured specifically for male individuals of a species or group.
-
E.
averageMaleShoulderHeight
Indicates the typical or mean shoulder height measured for male individuals within a given group or 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.