Triple
T32204847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grande Chartreuse monastery |
E822639
|
entity |
| Predicate | primaryMonasticLanguage |
P147063
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Grande Chartreuse monastery, primaryMonasticLanguage, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryMonasticLanguage Context triple: [Grande Chartreuse monastery, primaryMonasticLanguage, French]
-
A.
laterLanguageOfMonks
Indicates that one language is the later historical language used by a community of monks relative to another language they previously used.
-
B.
languageUsedAtMonastery
chosen
Indicates the language that is or was used for communication, liturgy, or daily activities at a specific monastery.
-
C.
hasMonasticForm
Indicates that an entity possesses or is associated with a specific monastic form, style, or mode of religious life.
-
D.
vinayaLanguage
Indicates that the subject uses, is expressed in, or is associated with the Vinaya (Buddhist monastic discipline) as a language or linguistic tradition.
-
E.
languageOfReligion
Indicates the language in which a particular religion is traditionally expressed, practiced, or documented.
- 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_69f349093174819086e633c190a51aa8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:36 a.m.