Triple
T37867708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Aargau |
E944519
|
entity |
| Predicate | isOnFlag |
P64836
|
FINISHED |
| Object | Flag of Aargau |
—
|
NE NERFINISHED |
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: Flag of Aargau | Statement: [Coat of arms of Aargau, isOnFlag, Flag of Aargau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnFlag Context triple: [Coat of arms of Aargau, isOnFlag, Flag of Aargau]
-
A.
isOnFlagOf
chosen
Indicates that something (typically a symbol, image, or design element) appears on or is depicted on a flag.
-
B.
isOn
Indicates that one entity is physically positioned above and in contact with the top surface of another entity.
-
C.
isStateFlagOf
Indicates that one entity is the official state flag representing the specified state or region.
-
D.
flagStatus
Indicates the current state or condition assigned to a flag, such as whether it is active, raised, set, or marked in a particular way.
-
E.
flagshipStatus
Indicates that an entity holds the primary or most prominent position within a group, organization, or collection, often serving as its leading or representative example.
- 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.