Triple
T5795037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australopithecus africanus |
E128488
|
entity |
| Predicate | bodyHeight |
P9788
|
FINISHED |
| Object | about 1.1–1.4 meters |
—
|
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 1.1–1.4 meters | Statement: [Australopithecus africanus, bodyHeight, about 1.1–1.4 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyHeight Context triple: [Australopithecus africanus, bodyHeight, about 1.1–1.4 meters]
-
A.
hasHeight
chosen
Indicates that one entity possesses a specific vertical measurement or stature.
-
B.
totalHeight
Indicates the combined vertical measurement resulting from adding the heights of one or more entities.
-
C.
heightInCentimetres
Indicates the numerical value of an entity’s height measured in centimetres.
-
D.
bodySize
Indicates the relative physical magnitude or scale of an entity’s body, such as how large or small it is.
-
E.
heightReference
Indicates that one entity’s height is being measured, compared, or defined relative to another specified reference point or standard.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1304588190b59a18fb7b70a60f |
completed | March 22, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69c021d477008190946113f9859eeb90 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:51 p.m.