Triple
T26671221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Montenegro |
E672334
|
entity |
| Predicate | scriptOnBanner |
P26218
|
FINISHED |
| Object | Cyrillic script (historical variants) |
—
|
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: Cyrillic script (historical variants) | Statement: [Coat of arms of Montenegro, scriptOnBanner, Cyrillic script (historical variants)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptOnBanner Context triple: [Coat of arms of Montenegro, scriptOnBanner, Cyrillic script (historical variants)]
-
A.
scriptOnFlag
Indicates that a script is attached to and/or executed when a specific flag or condition is set.
-
B.
scriptPromoted
Indicates that a script has been elevated in status or visibility, such as being featured, recommended, or moved to a higher-priority category.
-
C.
presentedUnderBanner
Indicates that something is displayed or showcased beneath or associated with a specific banner or heading.
-
D.
scriptUsedInSignage
Indicates that a particular writing system or script is employed in the text or graphics of a sign or signage.
-
E.
scriptOnRibbon
chosen
Indicates that a piece of writing or inscription is present on a ribbon associated with the subject.
- 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_69eecda00a9c8190b2691f4d89db03b6 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 3:13 a.m.