Triple
T23655626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the Canton of Jura |
E584290
|
entity |
| Predicate | crosierColor |
P153051
|
FINISHED |
| Object | red |
—
|
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: red | Statement: [Flag of the Canton of Jura, crosierColor, red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crosierColor Context triple: [Flag of the Canton of Jura, crosierColor, red]
-
A.
numberOfNotchesOnCrosier
Indicates the relationship that specifies how many notches are present on a given crosier.
-
B.
orientationOfCrosier
Indicates the spatial direction or positioning in which a crosier is oriented relative to a reference frame or object.
-
C.
cereColor
Indicates that one entity specifies or denotes the color of another entity’s cere (the fleshy area above a bird’s beak).
-
D.
crescentColor
Indicates that one entity has a crescent-shaped region whose color is specified or characterized by another entity.
-
E.
crestColor
Indicates the color characteristic of an entity’s crest.
- 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_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. |
| PDg | Predicate description generation | batch_69f1233300bc8190ac1639bdca1d7d99 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 17, 2026, 6:49 p.m.