Triple
T28025784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orrorin tugenensis |
E708118
|
entity |
| Predicate | estimatedBodySize |
P6061
|
FINISHED |
| Object | similar to a modern chimpanzee |
—
|
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: similar to a modern chimpanzee | Statement: [Orrorin tugenensis, estimatedBodySize, similar to a modern chimpanzee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedBodySize Context triple: [Orrorin tugenensis, estimatedBodySize, similar to a modern chimpanzee]
-
A.
memberOfBodySize
Indicates that one entity is a component or part whose size contributes to or characterizes the overall body size of another entity.
-
B.
bodySize
Indicates the relative physical magnitude or scale of an entity’s body, such as how large or small it is.
-
C.
maximumBodyLength
Indicates that there is an upper limit on the allowable length or size of a body (e.g., content, message, or object) in this relationship or action.
-
D.
approximateSize
chosen
Indicates that one entity has a size that is roughly or approximately equal to the size of another entity.
-
E.
contentLengthCategory
Indicates how an item’s content is classified into a length-based category (e.g., short, medium, long) based on its size or duration.
- 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_69ef9b6bdd9c8190bb3a574a03774ad1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 8:12 p.m.