Triple
T2795449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Wittelsbach |
E53024
|
entity |
| Predicate | earlierReligion |
P10604
|
FINISHED |
| Object | Lutheranism |
—
|
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: Lutheranism | Statement: [House of Wittelsbach, earlierReligion, Lutheranism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlierReligion Context triple: [House of Wittelsbach, earlierReligion, Lutheranism]
-
A.
laterReligion
chosen
Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
-
B.
religionBeforeReformation
Indicates that an entity’s religious affiliation or practice existed or was established prior to the historical period known as the Reformation.
-
C.
otherMajorReligion
Indicates that an entity’s primary religious affiliation is a major religion other than the one currently in focus or being referenced.
-
D.
religionInClassicalPeriod
Indicates that an entity’s religion or religious affiliation during the classical historical period is being specified.
-
E.
ethnicReligion
Indicates that a religion is closely associated with a particular ethnic group, often tied to that group’s culture, ancestry, or identity.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddef754081908e6218dc2208e0fd |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.