Triple
T37769712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obersächsischer Reichskreis |
E941512
|
entity |
| Predicate | hasNumberOfImperialCircles |
P199359
|
FINISHED |
| Object | 1 of 10 Imperial Circles |
—
|
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: 1 of 10 Imperial Circles | Statement: [Obersächsischer Reichskreis, hasNumberOfImperialCircles, 1 of 10 Imperial Circles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfImperialCircles Context triple: [Obersächsischer Reichskreis, hasNumberOfImperialCircles, 1 of 10 Imperial Circles]
-
A.
hasNumberOfImperialCities
Indicates the relationship between an entity and the count of imperial cities associated with or contained within it.
-
B.
hadImperialCircle
Indicates that an entity was administratively organized within a specific Imperial Circle of the Holy Roman Empire.
-
C.
hasRoyalCircle
Indicates that an entity belongs to, is part of, or is associated with a royal or monarch’s inner circle or court.
-
D.
hasImperialCultCenter
Indicates that a place serves or served as a center for the worship and official cult of an emperor or imperial authority.
-
E.
hasCircle
Indicates that one entity possesses, contains, or includes a circle as part of its structure 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff2fbae9b48190847eefa1c227d43e |
completed | May 9, 2026, 12:59 p.m. |
| PD | Predicate disambiguation | batch_69ff2f2218048190a32224a648182b5d |
completed | May 9, 2026, 12:57 p.m. |
| PDg | Predicate description generation | batch_69ff2fb9e46c8190b36b3e0bc84f114c |
completed | May 9, 2026, 12:59 p.m. |
Created at: May 3, 2026, 4:19 p.m.