Triple
T26371723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emblem of the Republic of China |
E660789
|
entity |
| Predicate | partyEmblemAdoptionYear |
P161570
|
FINISHED |
| Object | 1911 |
—
|
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: 1911 | Statement: [Emblem of the Republic of China, partyEmblemAdoptionYear, 1911]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partyEmblemAdoptionYear Context triple: [Emblem of the Republic of China, partyEmblemAdoptionYear, 1911]
-
A.
adoptedAsEmblemBy
Indicates that something has been officially chosen and used as a symbolic emblem by a particular entity or group.
-
B.
adoptedAsOfficialSymbolInYear
chosen
Indicates that something was formally designated as an official symbol in a specific year.
-
C.
teamEmblem
Indicates that an emblem (such as a logo or symbol) represents or is officially associated with a particular team.
-
D.
associationFoundedYear
Indicates the year in which an association was formally established or founded.
-
E.
coatOfArmsApprovalYear
Indicates the year in which a particular coat of arms was officially approved or granted.
- 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_69ee812a698881908d6a58265995fa39 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 26, 2026, 10:58 p.m.