Triple
T35034481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | wolf |
E1010871
|
entity |
| Predicate | averageAdultMassRange |
P103038
|
FINISHED |
| Object | 30–80 kilograms |
—
|
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: 30–80 kilograms | Statement: [wolf, averageAdultMassRange, 30–80 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageAdultMassRange Context triple: [wolf, averageAdultMassRange, 30–80 kilograms]
-
A.
averageWeight
Indicates the typical or mean weight value associated with an entity or group of entities.
-
B.
typicalMassRange
chosen
Indicates the usual or expected range of mass values associated with an entity.
-
C.
estimatedBodyMassInKilograms
Indicates the estimated mass of an entity’s body expressed in kilograms.
-
D.
averageHeightRange
Indicates the typical minimum and maximum height values that characterize the usual height span associated with an entity or group.
-
E.
maleBodyMass
Indicates that the relationship specifies the body mass or weight associated with a male individual.
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:01 p.m.