Triple
T22764448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Russell Terrier |
E563083
|
entity |
| Predicate | averageHeightRange |
P149632
|
FINISHED |
| Object | 25–38 cm |
—
|
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: 25–38 cm | Statement: [Jack Russell Terrier, averageHeightRange, 25–38 cm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageHeightRange Context triple: [Jack Russell Terrier, averageHeightRange, 25–38 cm]
-
A.
averageHeight
Indicates that the relationship specifies the mean height value calculated from a set of entities or measurements.
-
B.
averageFemaleHeight
Indicates the typical or mean height value observed among female individuals in a given group or population.
-
C.
femaleHeightRangeCm
Indicates the range of heights, measured in centimeters, that is associated with female individuals.
-
D.
averageMaleHeight
Indicates the typical or mean height value associated with male individuals in a given population or context.
-
E.
averageStatureCharacteristic
Indicates that an entity has a stature (height or overall size) that is typical or average relative to a relevant comparison group.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7f56848190b5e90f9916a5b349 |
completed | April 29, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:26 p.m.