Triple
T9350961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince-Bishopric of Speyer |
E225015
|
entity |
| Predicate | hasSecularAuthority |
P46562
|
FINISHED |
| Object | over its temporal territories |
—
|
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: over its temporal territories | Statement: [Prince-Bishopric of Speyer, hasSecularAuthority, over its temporal territories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecularAuthority Context triple: [Prince-Bishopric of Speyer, hasSecularAuthority, over its temporal territories]
-
A.
hadSecularAuthority
chosen
Indicates that an entity possessed or exercised non-religious, civil, or governmental authority over others or over a territory.
-
B.
secularAuthorityHeldBy
Indicates that the specified entity holds or exercises non-religious (civil or governmental) authority over another entity.
-
C.
heldEcclesiasticalAuthorityIn
Indicates that an entity possessed official religious or church authority within a specified place or jurisdiction.
-
D.
hasSecularAspects
Indicates that something includes or exhibits non-religious, worldly, or secular characteristics or dimensions.
-
E.
hasSecularUse
Indicates that something is used in a non-religious, worldly, or secular context or purpose.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f9248c08190a7bb40feec2eb217 |
completed | April 1, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:41 p.m.