Triple
T26287948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krieblowitz estate |
E661188
|
entity |
| Predicate | formerlyInCountry |
P36882
|
FINISHED |
| Object | Germany |
—
|
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: Germany | Statement: [Krieblowitz estate, formerlyInCountry, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerlyInCountry Context triple: [Krieblowitz estate, formerlyInCountry, Germany]
-
A.
hasFormerCountry
chosen
Indicates that an entity was previously part of, or belonged to, a country that no longer exists in its former political form.
-
B.
isInFormerHomeland
Indicates that an entity is located within a territory that was once its homeland but is no longer officially recognized as such.
-
C.
formerHostCountry
Indicates that one entity was previously the host country for another entity, but no longer holds that role.
-
D.
formerCitizenship
Indicates that an entity previously held, but no longer holds, citizenship in a specified country or state.
-
E.
formerCountryOfOrigin
Indicates that an entity was previously the country from which another entity originated, but is no longer its current country of origin.
- 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_69ee812bbd448190be4d7478b057990a |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 26, 2026, 10:06 p.m.