Triple
T24428097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lutherhaus Eisenach |
E615915
|
entity |
| Predicate | believedResidenceOf |
P4907
|
FINISHED |
| Object | Martin Luther |
—
|
NE NERFINISHED |
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: Martin Luther | Statement: [Lutherhaus Eisenach, believedResidenceOf, Martin Luther]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: believedResidenceOf Context triple: [Lutherhaus Eisenach, believedResidenceOf, Martin Luther]
-
A.
residencyOf
Indicates that one entity serves as the place where another entity resides or lives.
-
B.
residedOn
Indicates that an entity lived or had its primary dwelling at a specific location during a certain period.
-
C.
formerResidenceOf
chosen
Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
-
D.
hasResidenceOn
Indicates that one entity’s place of residence is located on or along another entity, such as a street, road, or other linear feature.
-
E.
hasResidenceIn
Indicates that an entity lives or maintains a primary dwelling in a specified location.
- 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_69e2d7eadb248190a867130fe45f0388 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f296a983d88190904b559694363a19 |
completed | April 29, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:15 a.m.