Triple
T15786335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkana Boy |
E382746
|
entity |
| Predicate | brainVolume |
P66567
|
FINISHED |
| Object | about 880 cubic centimeters |
—
|
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: about 880 cubic centimeters | Statement: [Turkana Boy, brainVolume, about 880 cubic centimeters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brainVolume Context triple: [Turkana Boy, brainVolume, about 880 cubic centimeters]
-
A.
cranialCapacity
chosen
Indicates the volume or size of the interior space of the skull that can house the brain.
-
B.
hasBrainToBodyRatio
Indicates the proportional relationship between the size or mass of an entity’s brain and the size or mass of its body.
-
C.
brain
Indicates that an entity functions as the brain (central cognitive or control organ) of another entity.
-
D.
volumeOf
Indicates the quantitative three-dimensional space occupied by an entity or contained within an object.
-
E.
brainDonatedForCTEResearch
Indicates that a person’s brain has been donated specifically to be used in research on Chronic Traumatic Encephalopathy (CTE).
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0540380448190a025338f0e62e6d1 |
completed | April 16, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:48 a.m.