Triple
T2693340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cadfael Chronicles |
E58453
|
entity |
| Predicate | literarySettingType |
P19303
|
FINISHED |
| Object | monastery |
—
|
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: monastery | Statement: [The Cadfael Chronicles, literarySettingType, monastery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literarySettingType Context triple: [The Cadfael Chronicles, literarySettingType, monastery]
-
A.
hasLiterarySetting
chosen
Indicates that a literary work is set in, or primarily takes place within, a particular location or environment.
-
B.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
C.
countryOfSetting
Indicates the country in which the setting or context of something (such as a story, event, or work) takes place.
-
D.
setInFictionalLocation
Indicates that an event, story, or narrative takes place within a fictional or imagined location rather than a real-world setting.
-
E.
traditionalPlaceOfWriting
Indicates the customary or historically typical location where a particular text, document, or type of writing is produced or composed.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda0f43b08190a5abd936b14603b7 |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81ea5d88190ab5c8f8b8064b931 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.