Triple
T25500931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ursus arctos |
E639107
|
entity |
| Predicate | averageFemaleMassRange |
P31786
|
FINISHED |
| Object | 80–250 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: 80–250 kg | Statement: [Ursus arctos, averageFemaleMassRange, 80–250 kg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageFemaleMassRange Context triple: [Ursus arctos, averageFemaleMassRange, 80–250 kg]
-
A.
averageWeightFemale
chosen
Indicates the typical or mean body weight associated specifically with female individuals within a given group or context.
-
B.
averageFemaleHeight
Indicates the typical or mean height value observed among female individuals in a given group or population.
-
C.
averageBodyLengthFemale
Indicates the typical or mean body length measured specifically for female individuals of a given group or species.
-
D.
averageWeight
Indicates the typical or mean weight value associated with an entity or group of entities.
-
E.
averageHeightRange
Indicates the typical minimum and maximum height values that characterize the usual height span associated with an entity or group.
- 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_69e75dbbd2a88190b70e1e645de14b9a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f801e8f8819093ca7a9eb910fd33 |
completed | May 2, 2026, 1:11 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 2:42 p.m.