Triple
T19302357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlsruhe, Silesia, Kingdom of Prussia |
E482732
|
entity |
| Predicate | hasNotableFieldOfPersonBornHere |
P123555
|
FINISHED |
| Object | geography |
—
|
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: geography | Statement: [Carlsruhe, Silesia, Kingdom of Prussia, hasNotableFieldOfPersonBornHere, geography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableFieldOfPersonBornHere Context triple: [Carlsruhe, Silesia, Kingdom of Prussia, hasNotableFieldOfPersonBornHere, geography]
-
A.
hasNotableFieldOfBornPerson
chosen
Indicates that a person is notably associated with or recognized for a particular field related to their birth (such as birthplace’s notable domain or the field for which they are known).
-
B.
hasNotablePersonBornHere
Indicates that a notable or distinguished person was born at the referenced place.
-
C.
hasNotablePersonRaisedHere
Indicates that a notable person spent their formative or upbringing years in the referenced place.
-
D.
containsBirthplaceTown
Indicates that one entity includes or specifies the town where another entity was born.
-
E.
isBirthplaceRelatedTo
Indicates that there is a relationship between an entity and a birthplace, such as being born there or otherwise closely associated with that place of birth.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc8add788190aed98bcbad518808 |
completed | April 20, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0bc7508190a6f9d56bd4c3404f |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:31 p.m.