Triple
T32204830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grande Chartreuse monastery |
E822639
|
entity |
| Predicate | monksReturnedInYear |
P173836
|
FINISHED |
| Object | 1940 |
—
|
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: 1940 | Statement: [Grande Chartreuse monastery, monksReturnedInYear, 1940]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monksReturnedInYear Context triple: [Grande Chartreuse monastery, monksReturnedInYear, 1940]
-
A.
numberOfMonks
Indicates the quantity or count of monks associated with a given entity or context.
-
B.
yearsAsMonk
Indicates the number of years an entity has spent living as a monk.
-
C.
numberOfMonksApprox
Indicates an approximate count or estimate of how many monks are involved or present in a given context.
-
D.
monasticTraditionFoundedInYear
Indicates that a particular monastic tradition was established or came into existence in a specified year.
-
E.
monkSince
Indicates the point in time since which an entity has held the status or role of a monk.
- F. None of above. chosen
Provenance (4 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_69f6bb3e928c819095aafcac5970e923 |
completed | May 3, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:36 a.m.