Triple
T34931933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerboa |
E1007457
|
entity |
| Predicate | earSizeRelativeToBody |
P158205
|
FINISHED |
| Object | large |
—
|
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: large | Statement: [Jerboa, earSizeRelativeToBody, large]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earSizeRelativeToBody Context triple: [Jerboa, earSizeRelativeToBody, large]
-
A.
earSize
chosen
Indicates the relative size of an entity’s ear(s), typically along a scale from small to large.
-
B.
eyeToBodySizeRatio
Indicates the proportional relationship between the size of an entity's eye and the overall size of its body.
-
C.
bodySize
Indicates the relative physical magnitude or scale of an entity’s body, such as how large or small it is.
-
D.
weightSize
Indicates a relationship between an entity’s weight and its physical size, typically expressing how one varies or is characterized in terms of the other.
-
E.
wearsOnBodyPart
Indicates that an entity places or has an item worn on a specific part of its body.
- 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_69f76dc3d83881909d5c3c14455cfa2c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.