Triple
T16975445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sable antelope |
E411797
|
entity |
| Predicate | hornLengthRange |
P124423
|
FINISHED |
| Object | up to about 165 cm in males |
—
|
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: up to about 165 cm in males | Statement: [Sable antelope, hornLengthRange, up to about 165 cm in males]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hornLengthRange Context triple: [Sable antelope, hornLengthRange, up to about 165 cm in males]
-
A.
hornLengthMale
chosen
Indicates the measured length of the horns specifically for male individuals in the relationship.
-
B.
earLength
Indicates the length of an entity’s ear(s), typically as a measurable physical attribute.
-
C.
armLength
Indicates that one entity’s arm has a specified length or that there is a measured distance corresponding to the length of an arm.
-
D.
carapaceLengthRange
Indicates the minimum and maximum measured lengths of an organism’s carapace within a specified context or dataset.
-
E.
lionLength
Indicates the length measurement associated with a lion.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d18300c8819080c8bf19962754ba |
completed | April 18, 2026, 6:46 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:31 a.m.