Triple
T6442868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S3 (Gardiner sign list) |
E138266
|
entity |
| Predicate | belongsToGardinerCategory |
P19933
|
FINISHED |
| Object | S – Crowns, dress, staves, etc. |
—
|
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: S – Crowns, dress, staves, etc. | Statement: [S3 (Gardiner sign list), belongsToGardinerCategory, S – Crowns, dress, staves, etc.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToGardinerCategory Context triple: [S3 (Gardiner sign list), belongsToGardinerCategory, S – Crowns, dress, staves, etc.]
-
A.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
B.
hasCategoryWithin
Indicates that one category is contained within or is a subcategory of another category.
-
C.
hasRelatedCategory
Indicates that one category is associated with another category through a non-hierarchical, contextually relevant relationship.
-
D.
belongsToCatalogOf
chosen
Indicates that one item is included within, or is a member of, a particular catalog or collection.
-
E.
haveCategoryCode
Indicates that an entity is associated with a specific classification or category identified by a code.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0698b030481908b7bb4e16a8b3339 |
completed | March 22, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69c060faaf248190bbdc8ff909c8777a |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:46 p.m.