Triple
T13040187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swabian Circle |
E327169
|
entity |
| Predicate | numberOfImperialCircles |
P63418
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Swabian Circle, numberOfImperialCircles, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfImperialCircles Context triple: [Swabian Circle, numberOfImperialCircles, 10]
-
A.
numberOfKreise
chosen
Indicates the quantity or count of circles associated with a given entity.
-
B.
hadImperialCircle
Indicates that an entity was administratively organized within a specific Imperial Circle of the Holy Roman Empire.
-
C.
hasCircle
Indicates that one entity possesses, contains, or includes a circle as part of its structure or composition.
-
D.
imperialRepresentation
Indicates that one entity serves as the official representative or embodiment of an empire or imperial authority in relation to another entity.
-
E.
circles
Indicates that one entity moves around another entity along a roughly circular path or orbit.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:55 p.m.