Triple
T32550974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | flag of Uganda |
E831970
|
entity |
| Predicate | craneLegPosition |
P172682
|
FINISHED |
| Object | one leg raised |
—
|
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: one leg raised | Statement: [flag of Uganda, craneLegPosition, one leg raised]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: craneLegPosition Context triple: [flag of Uganda, craneLegPosition, one leg raised]
-
A.
anchorLegSegment
Indicates that a leg segment serves as a fixed anchor or reference point for another connected segment or structure.
-
B.
hornPosition
Indicates the relative placement or orientation of a horn with respect to a reference point or object.
-
C.
conePosition
Indicates the spatial position or placement of a cone relative to a reference frame or environment.
-
D.
limbStance
chosen
Indicates the stance or positional relationship of a limb relative to a supporting surface or reference frame during posture or movement.
-
E.
rackPosition
Indicates the spatial placement or slot of an item within a rack or racking system.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c5c70200819080339dcbe1a4088d |
completed | May 3, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:02 a.m.