Triple
T6479392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chertsey Abbey |
E146149
|
entity |
| Predicate | hadScriptorium |
P36314
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Chertsey Abbey, hadScriptorium, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadScriptorium Context triple: [Chertsey Abbey, hadScriptorium, yes]
-
A.
scriptorium
chosen
Indicates that an entity is a place or facility where texts are written, copied, or produced, typically by scribes.
-
B.
hadAtrium
Indicates that an entity possessed or included an atrium as part of its structure or design.
-
C.
scriptoriumStatus
Indicates the current operational or functional state of a scriptorium within a given context.
-
D.
hadChapterOf
Indicates that an entity (such as a book or document) includes or contains a specific chapter as one of its parts.
-
E.
hasMarginalia
Indicates that one entity (typically a document or page) contains marginal notes, comments, or annotations associated with it.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a4e764c819086828bb841f588e0 |
completed | March 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:51 p.m.