Triple
T16825853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caligula A.ix |
E409015
|
entity |
| Predicate | hasCataloguingSystem |
P111854
|
FINISHED |
| Object | Cotton bust-and-shelf arrangement |
—
|
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: Cotton bust-and-shelf arrangement | Statement: [Caligula A.ix, hasCataloguingSystem, Cotton bust-and-shelf arrangement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCataloguingSystem Context triple: [Caligula A.ix, hasCataloguingSystem, Cotton bust-and-shelf arrangement]
-
A.
hasShelfmarkSystem
chosen
Indicates that an entity uses or is associated with a particular system or scheme for assigning shelfmarks or call numbers.
-
B.
catalogueSystem
Indicates a relationship where one entity serves as or belongs to a cataloging system that organizes, indexes, or classifies other entities.
-
C.
hasCategorySystem
Indicates that an entity is associated with or organized according to a particular categorization system.
-
D.
hasTaggingSystem
Indicates that an entity is associated with or supports a system for assigning and managing tags or labels.
-
E.
hasBorrowingSystem
Indicates that an entity possesses or employs a system or mechanism for borrowing items, resources, or services.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b3126db88190ac5595b0d50e4232 |
completed | April 18, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b814b188190aee525f8779203cd |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:23 a.m.