Triple
T4682683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Canada |
E103840
|
entity |
| Predicate | firstRaisingDate |
P43925
|
FINISHED |
| Object | 1965-02-15 |
—
|
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: 1965-02-15 | Statement: [Flag of Canada, firstRaisingDate, 1965-02-15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRaisingDate Context triple: [Flag of Canada, firstRaisingDate, 1965-02-15]
-
A.
firstRaisedAt
Indicates the initial time or context at which an issue, topic, or matter was first brought up or introduced.
-
B.
firstRaisedIn
Indicates the context (such as time, place, or source) in which an issue, idea, or topic was initially brought up or introduced.
-
C.
firstIntroductionDate
chosen
Indicates the date on which an entity was first introduced or presented for the first time.
-
D.
firstHolderDate
Indicates the date on which an entity first became the holder or owner of another entity (e.g., an asset, title, or right).
-
E.
firstRecordingDate
Indicates the date on which an entity’s first recording (e.g., audio, video, or similar captured performance) was made.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6217e0088190836570522e324dc6 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.