Triple
T23655584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of the Canton of Jura |
E584289
|
entity |
| Predicate | orientationOfStripe |
P4984
|
FINISHED |
| Object | vertical |
—
|
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: vertical | Statement: [Coat of arms of the Canton of Jura, orientationOfStripe, vertical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orientationOfStripe Context triple: [Coat of arms of the Canton of Jura, orientationOfStripe, vertical]
-
A.
orderOfStripes
Indicates the sequential arrangement or pattern in which stripes appear relative to one another.
-
B.
hasStripeOrientation
chosen
Indicates the directional arrangement or alignment of stripes present on an entity.
-
C.
orangeStripeRepresents
Indicates that an orange stripe symbolically stands for, denotes, or conveys the meaning of a particular concept, status, or entity.
-
D.
numberOfStripes
Indicates the count of distinct stripe markings associated with an entity.
-
E.
orientationInducedBy
Indicates that the orientation of one entity is determined or caused by the orientation or configuration of another entity.
- 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_69e248ffc0888190ae23c4731eb8b7ac |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b35b19e48190866a19ed8b7086d0 |
completed | April 29, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:49 p.m.