Triple
T5473708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Cross for Canada |
E122896
|
entity |
| Predicate | firstCreatedIn |
P14243
|
FINISHED |
| Object | reign of Queen Elizabeth II |
—
|
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: reign of Queen Elizabeth II | Statement: [Victoria Cross for Canada, firstCreatedIn, reign of Queen Elizabeth II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCreatedIn Context triple: [Victoria Cross for Canada, firstCreatedIn, reign of Queen Elizabeth II]
-
A.
firstCreatedAt
chosen
Indicates the time or date at which an entity was initially created for the first time.
-
B.
firstCreatedUsing
Indicates that one entity was initially produced or brought into existence through the use, application, or involvement of another entity.
-
C.
firstCreationYear
Indicates the year in which something was first created or originally produced.
-
D.
createdIn
Indicates that one entity was brought into existence, produced, or originated within the context, location, or time frame specified by another entity.
-
E.
firstUsedBy
Indicates that something was initially utilized, applied, or employed by a particular entity before any others.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9230d6d88190a9ac48a4488e1754 |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.