Triple
T21866330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baguette bag |
E539891
|
entity |
| Predicate | anniversaryCollection |
P143924
|
FINISHED |
| Object | 20th anniversary re-editions |
—
|
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: 20th anniversary re-editions | Statement: [Baguette bag, anniversaryCollection, 20th anniversary re-editions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anniversaryCollection Context triple: [Baguette bag, anniversaryCollection, 20th anniversary re-editions]
-
A.
anniversaryOf
Indicates that one event or date marks the commemoration or yearly recurrence of another specific event.
-
B.
anniversaryNumber
Indicates the specific ordinal count of an anniversary occurrence in a recurring commemorative event or relationship.
-
C.
anniversaryEditionPublicationYear
Indicates the year in which an anniversary edition of a work was published.
-
D.
anniversarySpecialTitle
Indicates that a title is specially designated or labeled in relation to an anniversary occasion or celebration.
-
E.
associatedWithAnniversary
chosen
Indicates a relationship where something is connected or related to an anniversary event, date, or celebration.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63f2ec48190956a3e99d8f98b1f |
completed | April 28, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:56 p.m.