Triple
T12237519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishopric of Wetter |
E291635
|
entity |
| Predicate | polityNature |
P1815
|
FINISHED |
| Object | ecclesiastical |
—
|
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: ecclesiastical | Statement: [Bishopric of Wetter, polityNature, ecclesiastical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: polityNature Context triple: [Bishopric of Wetter, polityNature, ecclesiastical]
-
A.
nation
Indicates that an entity is a country or sovereign state, or that something pertains to such a country as a political unit.
-
B.
hasPolity
chosen
Indicates that one entity possesses, controls, or is associated with a particular political organization, governance structure, or state-like authority.
-
C.
countryGovernment
Indicates the type or form of government that exercises authority over a given country.
-
D.
presidencyNature
Indicates the type or character of a presidency, such as its style, structure, or defining institutional features, in relation to a given office or term.
-
E.
countrySubject
Indicates that the subject entity is a country that is the main actor, topic, or focus in the described relation or statement.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.