Triple
T278039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diamond Jubilee 2012 |
E5291
|
entity |
| Predicate | marksAnniversaryOf |
P7858
|
FINISHED |
| Object | accession of Elizabeth II on 6 February 1952 |
—
|
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: accession of Elizabeth II on 6 February 1952 | Statement: [Diamond Jubilee 2012, marksAnniversaryOf, accession of Elizabeth II on 6 February 1952]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marksAnniversaryOf Context triple: [Diamond Jubilee 2012, marksAnniversaryOf, accession of Elizabeth II on 6 February 1952]
-
A.
typeOfAnniversary
Indicates the specific category or kind of anniversary that an event or date represents (e.g., wedding, work, founding).
-
B.
completionAnniversary
Indicates the date or event marking the anniversary of when something was originally completed.
-
C.
periodCommemorated
Indicates that something serves to honor, remember, or mark a specific historical or temporal period.
-
D.
commemoratesEventOn
chosen
Indicates that one entity marks, honors, or observes a specific event on a particular date or occasion.
-
E.
commemorationDate
Indicates the date on which an event, person, or occasion is formally remembered or honored.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dee7830819087f153769a8496b9 |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b7480e881909399beccfc7ffb81 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.