Triple
T14521649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qatari dirham |
E340664
|
entity |
| Predicate | isPrimarilyNotional |
P114570
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Qatari dirham, isPrimarilyNotional, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrimarilyNotional Context triple: [Qatari dirham, isPrimarilyNotional, true]
-
A.
notionOf
Indicates that one entity represents, expresses, or embodies the concept or idea of another entity.
-
B.
primaryNotation
Indicates the main or preferred symbolic representation or writing system used to express an entity.
-
C.
notPrimarilyIntendedFor
Indicates that something is used or occurs in a way that is not its main or original purpose or target.
-
D.
hasNominalMorphology
Indicates that an entity possesses a system of nominal morphology, such as inflectional or derivational markers on nouns.
-
E.
isMostly
Indicates that one entity constitutes the greater part or majority of another entity in amount, extent, or composition.
- F. None of above. chosen
Provenance (4 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a72cff08190878b4bed9b0b5eb5 |
completed | April 14, 2026, 7:50 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb5ac548190932f238e37271741 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:22 a.m.