Triple
T30903717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Kurdistan Region |
E787236
|
entity |
| Predicate | languageOnEmblem |
P5036
|
FINISHED |
| Object | Kurdish |
—
|
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: Kurdish | Statement: [Coat of arms of Kurdistan Region, languageOnEmblem, Kurdish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOnEmblem Context triple: [Coat of arms of Kurdistan Region, languageOnEmblem, Kurdish]
-
A.
emblemLanguage
chosen
Indicates that an emblem (such as a symbol or logo) is associated with or presented in a particular language.
-
B.
officialLanguageOnEmblem
Indicates that a particular language is used as the official language displayed on an emblem, such as a coat of arms, seal, or flag.
-
C.
emblemName
Indicates that a specified name is the official or recognized title of an emblem.
-
D.
emblemText
Indicates that a piece of text serves as the inscription or wording displayed on an emblem.
-
E.
languageOnStamp
Indicates that a particular language appears on or is used in the text or inscriptions printed on a stamp.
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff48199b1c8190bb05872f8a4f4673 |
completed | May 9, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69ff4746b1cc8190854f70a124df7d04 |
completed | May 9, 2026, 2:40 p.m. |
Created at: April 29, 2026, 8:50 p.m.