Triple
T9890698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 五星红旗 |
E181441
|
entity |
| Predicate | 标准比例 |
P3019
|
FINISHED |
| Object | 长宽比2:3 |
—
|
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: 长宽比2:3 | Statement: [五星红旗, 标准比例, 长宽比2:3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 标准比例 Context triple: [五星红旗, 标准比例, 长宽比2:3]
-
A.
standardSetSize
Indicates that there is a defined or typical number of elements that constitute the standard size for a given set.
-
B.
standardNumber
Indicates that an entity is associated with a canonical or officially recognized reference number used for identification or classification.
-
C.
officialProportion
chosen
Indicates the proportion or percentage of something as formally defined or reported by an official source or authority.
-
D.
standardType
Indicates that one entity is classified as the standard, canonical, or reference type for another entity or context.
-
E.
baseStandard
Indicates that one entity serves as the foundational or reference standard upon which another entity is defined, measured, or evaluated.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb47dfa908190884e96e5e5d6f41f |
completed | April 2, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:39 p.m.