Triple
T3385101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Dane |
E71280
|
entity |
| Predicate | bodyBuild |
P47149
|
FINISHED |
| Object | muscular |
—
|
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: muscular | Statement: [Great Dane, bodyBuild, muscular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyBuild Context triple: [Great Dane, bodyBuild, muscular]
-
A.
body
Indicates that one entity is the physical body or main corporeal form of another entity.
-
B.
publicBody
Indicates that an entity functions as a governmental or publicly controlled organization that performs public duties or services.
-
C.
bodyConfiguration
Indicates the specific physical arrangement, posture, or structural setup of an entity’s body in relation to its parts or environment.
-
D.
bodyPattern
Indicates a recurring or characteristic configuration, arrangement, or sequence exhibited by a body or physical form.
-
E.
bodyPlan
Indicates the overall structural organization and arrangement of an organism’s body, including the layout and relationship of its major parts.
- F. None of above. chosen
Provenance (4 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5ee5e188190912dcea494a12038 |
completed | March 8, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69ada434bae48190a77ea37f9274ad8f |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada527ff308190813a7ffdcdec4322 |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:14 p.m.