Triple
T14227898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haus Welf |
E352669
|
entity |
| Predicate | hatReligionTraditionell |
P25219
|
FINISHED |
| Object | Römisch-katholische Kirche |
—
|
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: Römisch-katholische Kirche | Statement: [Haus Welf, hatReligionTraditionell, Römisch-katholische Kirche]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hatReligionTraditionell Context triple: [Haus Welf, hatReligionTraditionell, Römisch-katholische Kirche]
-
A.
religiousTraditions
Indicates a relationship where certain religious customs, practices, or belief systems are associated with or observed by an entity.
-
B.
partOfReligiousTradition
Indicates that one entity belongs to, is included within, or is practiced as a component of a particular religious tradition.
-
C.
bearerReligion
chosen
Indicates that a bearer (such as a person or entity) adheres to, practices, or is associated with a particular religion.
-
D.
hasRiteOrTradition
Indicates that an entity is associated with, practices, or observes a particular rite, ritual, or tradition.
-
E.
hostReligion
Indicates that an entity organizes, accommodates, or provides a venue for a particular religious group, event, or practice.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622a48508190bbfedb762bd1674d |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:07 a.m.