Triple
T1592905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Emblem of the People's Republic of China |
E34214
|
entity |
| Predicate | smallStarsRepresent |
P29655
|
FINISHED |
| Object | 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: Chinese people | Statement: [National Emblem of the People's Republic of China, smallStarsRepresent, Chinese people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: smallStarsRepresent Context triple: [National Emblem of the People's Republic of China, smallStarsRepresent, Chinese people]
-
A.
starCount
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
-
B.
star
Indicates that an entity has been given a special or highlighted status, often marking it as important, featured, or favorited in relation to others.
-
C.
starPosition
Indicates the spatial location or coordinates of a star relative to a defined reference frame.
-
D.
hasStarOn
Indicates that one entity bears or displays a star symbol positioned on another entity.
-
E.
smallSizeIssuesStart
Indicates that problems or complications begin to occur when something is of a small size.
- 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.