Triple
T8587757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnish coat of arms |
E203347
|
entity |
| Predicate | scriptBlazonLanguage |
P36678
|
FINISHED |
| Object | heraldic blazon |
—
|
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: heraldic blazon | Statement: [Finnish coat of arms, scriptBlazonLanguage, heraldic blazon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptBlazonLanguage Context triple: [Finnish coat of arms, scriptBlazonLanguage, heraldic blazon]
-
A.
languageOfOfficialBlazon
chosen
Indicates the language in which the official blazon (formal heraldic description) of a coat of arms or emblem is written.
-
B.
coatOfArmsCaption
Indicates the descriptive text that explains or labels the depicted coat of arms.
-
C.
scriptOnCoatOfArms
Indicates that a specific script or writing system appears on, or is inscribed upon, a coat of arms.
-
D.
coatOfArms
Indicates that one entity serves as the heraldic emblem or coat of arms representing another entity.
-
E.
coatOfArmsMotto
Indicates the phrase or motto that appears on or is officially associated with a particular coat of arms.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c5e8888190b721e791c449b0df |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
Created at: March 30, 2026, 6:23 p.m.