Triple
T22764450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Russell Terrier |
E563083
|
entity |
| Predicate | averageWeightRange |
P26162
|
FINISHED |
| Object | 6–8 kg |
—
|
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: 6–8 kg | Statement: [Jack Russell Terrier, averageWeightRange, 6–8 kg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageWeightRange Context triple: [Jack Russell Terrier, averageWeightRange, 6–8 kg]
-
A.
averageWeight
Indicates the typical or mean weight value associated with an entity or group of entities.
-
B.
averageWeightFemale
Indicates the typical or mean body weight associated specifically with female individuals within a given group or context.
-
C.
weightRangeDescription
chosen
Indicates the textual description that specifies the range within which an entity’s weight falls.
-
D.
weightForAge
Indicates the weight measurement associated with an entity given its age.
-
E.
averageHeight
Indicates that the relationship specifies the mean height value calculated from a set of entities or measurements.
- 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_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. |
Created at: April 17, 2026, 3:26 p.m.