Triple
T32550985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | flag of Uganda |
E831970
|
entity |
| Predicate | craneOrientation |
P175003
|
FINISHED |
| Object | facing hoist |
—
|
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: facing hoist | Statement: [flag of Uganda, craneOrientation, facing hoist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: craneOrientation Context triple: [flag of Uganda, craneOrientation, facing hoist]
-
A.
coneOrientation
Indicates the directional alignment or pointing direction of a cone relative to a reference frame or object.
-
B.
orientationOfCross
Indicates the spatial orientation or alignment of a cross relative to a reference frame or object.
-
C.
shaftOrientation
Indicates the directional alignment or angle at which a shaft is positioned or oriented relative to a reference frame or object.
-
D.
locationOrientation
Indicates how one entity is spatially oriented or positioned relative to a specific location or reference point.
-
E.
poleOrientation
Indicates the directional alignment or facing of a pole relative to a reference frame or coordinate system.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: May 1, 2026, 1:02 a.m.