Triple
T24165348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Connolly |
E598961
|
entity |
| Predicate | basedInWorkSetting |
P131809
|
FINISHED |
| Object | fictional African state of Azania |
—
|
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: fictional African state of Azania | Statement: [General Connolly, basedInWorkSetting, fictional African state of Azania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInWorkSetting Context triple: [General Connolly, basedInWorkSetting, fictional African state of Azania]
-
A.
basedInWorkFormat
Indicates that an entity operates or is situated within a particular work format (such as remote, hybrid, or on-site) as its primary mode of working.
-
B.
residesInWork
Indicates that a person or entity lives or is based within the location, setting, or environment defined by a particular work (such as a book, film, or other creative piece).
-
C.
basedInWorkForm
Indicates that an entity operates or is situated within a particular work-related format, structure, or organizational form.
-
D.
locationInWork
Indicates that one entity specifies the place or setting where another entity occurs, is situated, or takes place within a particular work (e.g., a scene’s location in a film or a chapter’s setting in a book).
-
E.
placeInWork
chosen
Indicates that one entity is located or occurs within the spatial or structural context of another entity in a work.
- 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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:32 p.m.