Triple
T37481977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian Cattle Dog |
E931434
|
entity |
| Predicate | typicalWeight_kg |
P179527
|
FINISHED |
| Object | 15–22 |
—
|
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: 15–22 | Statement: [Australian Cattle Dog, typicalWeight_kg, 15–22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWeight_kg Context triple: [Australian Cattle Dog, typicalWeight_kg, 15–22]
-
A.
averageWeight
Indicates the typical or mean weight value associated with an entity or group of entities.
-
B.
estimatedBodyMassInKilograms
chosen
Indicates the estimated mass of an entity’s body expressed in kilograms.
-
C.
intendedWeight
Indicates the target or desired weight that an entity is meant or planned to have, rather than its current actual weight.
-
D.
approximateWeightInPounds
Indicates the estimated weight of an entity expressed in pounds, rather than an exact measured value.
-
E.
weightStandardInfluencedBy
Indicates that a weight standard is affected, shaped, or determined by another factor, standard, or influence.
- 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.