Triple
T36997558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the President of Iceland |
E915268
|
entity |
| Predicate | coatOfArmsElements |
P183699
|
FINISHED |
| Object | Icelandic shield with cross |
—
|
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: Icelandic shield with cross | Statement: [Flag of the President of Iceland, coatOfArmsElements, Icelandic shield with cross]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coatOfArmsElements Context triple: [Flag of the President of Iceland, coatOfArmsElements, Icelandic shield with cross]
-
A.
coatOfArmsFeatures
Indicates that a coat of arms includes or displays specific symbols, colors, or design elements as part of its heraldic composition.
-
B.
coatOfArms
Indicates that one entity serves as the heraldic emblem or coat of arms representing another entity.
-
C.
partOfHeraldryOf
chosen
Indicates that something is an element or component included within a specific coat of arms or heraldic system.
-
D.
coatOfArmsType
Indicates the specific kind or category of coat of arms associated with an entity.
-
E.
heraldicCharge
Indicates that one entity serves as a heraldic charge, i.e., a symbolic figure or emblem placed on another entity’s coat of arms or shield.
- 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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.