Triple
T411148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romani flag |
E9491
|
entity |
| Predicate | symbolInCenter |
P4751
|
FINISHED |
| Object | red chakra wheel |
—
|
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: red chakra wheel | Statement: [Romani flag, symbolInCenter, red chakra wheel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolInCenter Context triple: [Romani flag, symbolInCenter, red chakra wheel]
-
A.
hasCentralFigure
Indicates that something features a primary or most important figure at its core or focus.
-
B.
symbolizes
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
C.
starSign
Indicates the astrological zodiac sign associated with a person or entity based on their birth date.
-
D.
centralIn
chosen
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
-
E.
centralText
Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ed31681c8190ac32334562fb17fd |
completed | Feb. 28, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_69a2e9737694819080fde9adcc1aa4d4 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:09 p.m.