Triple
T20270618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgian Shepherd Dog |
E499081
|
entity |
| Predicate | heightMale |
P138257
|
FINISHED |
| Object | approximately 60–66 cm at the withers |
—
|
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: approximately 60–66 cm at the withers | Statement: [Belgian Shepherd Dog, heightMale, approximately 60–66 cm at the withers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightMale Context triple: [Belgian Shepherd Dog, heightMale, approximately 60–66 cm at the withers]
-
A.
maleHeight
chosen
Indicates the height measurement associated with a male individual.
-
B.
averageMaleHeight
Indicates the typical or mean height value associated with male individuals in a given population or context.
-
C.
averageMaleShoulderHeight
Indicates the typical or mean shoulder height measured for male individuals within a given group or context.
-
D.
averageBodyLengthMale
Indicates the typical or mean body length measured specifically for male individuals of a species or group.
-
E.
maleHeightRangeCm
Indicates the range of body heights, measured in centimeters, that is characteristic or expected for males in a given 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dd7c58819095bbf4baeda04d6a |
completed | April 20, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:42 p.m.