Triple
T7462088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andean bear |
E176274
|
entity |
| Predicate | weightMale |
P49195
|
FINISHED |
| Object | approximately 100 to 200 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: approximately 100 to 200 kilograms | Statement: [Andean bear, weightMale, approximately 100 to 200 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weightMale Context triple: [Andean bear, weightMale, approximately 100 to 200 kilograms]
-
A.
maleBodyMass
chosen
Indicates that the relationship specifies the body mass or weight associated with a male individual.
-
B.
averageMaleHeight
Indicates the typical or mean height value associated with male individuals in a given population or context.
-
C.
maximumMaleBodyMass
Indicates the greatest recorded body mass among male individuals within a given group or species.
-
D.
averageWeight
Indicates the typical or mean weight value associated with an entity or group of entities.
-
E.
averageBodyLengthMale
Indicates the typical or mean body length measured specifically for male individuals of a species 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d6cf8c8190a31cac121d151d78 |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03bad9c8190bdd5abb86d37df47 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:39 p.m.