Triple
T13049034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electress of Bohemia |
E327399
|
entity |
| Predicate | hasCourtRank |
P62203
|
FINISHED |
| Object | electoral consort |
—
|
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: electoral consort | Statement: [Electress of Bohemia, hasCourtRank, electoral consort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCourtRank Context triple: [Electress of Bohemia, hasCourtRank, electoral consort]
-
A.
courtRank
chosen
Indicates the formal hierarchical rank or status an individual holds within a court or courtly system.
-
B.
hasLegalRank
Indicates that an entity holds a specific legal status, classification, or rank within a formal legal or regulatory system.
-
C.
hasSeniorCourt
Indicates that one court is hierarchically subordinate to another court that serves as its senior or higher-level authority.
-
D.
hasCourtOfficial
Indicates that an entity is associated with, employs, or is served by a court official in an official capacity.
-
E.
hadCourtLevel
Indicates the specific hierarchical level of the court at which a legal case or judicial action took place.
- 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, 8:57 p.m.