Triple
T37969281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince-Bishop of Regensburg |
E947233
|
entity |
| Predicate | heldMilitaryAuthority |
P40117
|
FINISHED |
| Object | limited territorial forces |
—
|
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: limited territorial forces | Statement: [Prince-Bishop of Regensburg, heldMilitaryAuthority, limited territorial forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heldMilitaryAuthority Context triple: [Prince-Bishop of Regensburg, heldMilitaryAuthority, limited territorial forces]
-
A.
hasMilitaryAuthority
chosen
Indicates that one entity possesses formal power or command to direct, control, or make decisions over the military activities or forces of another entity.
-
B.
hadMilitaryPost
Indicates that an entity held an official position or assignment within a military organization.
-
C.
formerMilitaryRole
Indicates that an entity previously held, but no longer holds, a specific military role or position.
-
D.
hasMilitaryStatus
Indicates that an entity possesses a specific military affiliation, role, or status (such as active duty, reserve, or veteran).
-
E.
hadMilitaryFollowing
Indicates that an entity was supported or backed by a group of military personnel or forces.
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.