Triple
T1592944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five-star red flag |
E34215
|
entity |
| Predicate | starColorSymbolism |
P29657
|
FINISHED |
| Object | unity of the Chinese people |
—
|
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: unity of the Chinese people | Statement: [Five-star red flag, starColorSymbolism, unity of the Chinese people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starColorSymbolism Context triple: [Five-star red flag, starColorSymbolism, unity of the Chinese people]
-
A.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
B.
flowerSymbolMeaning
Indicates that a particular flower is used to represent or convey a specific symbolic meaning or message.
-
C.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
D.
colorReferenceExplains
Indicates that one color reference serves to clarify, define, or provide explanatory information about another color-related element or notation.
-
E.
redStripeMeaning
Indicates that something has a red-colored stripe and conveys the meaning, symbolism, or significance associated with that red stripe.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a916d413f08190a4e137e5ed262e25 |
completed | March 5, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69a907bfb39c8190a31e0be14d3d52e6 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a916d2fae48190aaac6b2a5e31a7cf |
completed | March 5, 2026, 5:38 a.m. |
Created at: March 4, 2026, 7:27 p.m.