Triple
T16513224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emblem of Uzbekistan |
E401113
|
entity |
| Predicate | positionInWreath |
P123835
|
FINISHED |
| Object | sun and mountains in center |
—
|
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: sun and mountains in center | Statement: [Emblem of Uzbekistan, positionInWreath, sun and mountains in center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInWreath Context triple: [Emblem of Uzbekistan, positionInWreath, sun and mountains in center]
-
A.
positionInRosary
Indicates the specific sequential place an element occupies within the ordered structure of a rosary.
-
B.
positionInRegalia
Indicates the specific role or rank an individual holds within a formal regalia or ceremonial order.
-
C.
wreathType
Indicates the specific kind or category of wreath associated with an entity.
-
D.
crownPosition
Indicates the relative placement or orientation of a crown with respect to another object or reference point.
-
E.
wreathColor
Indicates the color associated with a given wreath.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e78d4848190a55de9902115b1b2 |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:14 a.m.