Triple
T15037590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | toonie |
E378516
|
entity |
| Predicate | dateOfFirstIssue |
P103252
|
FINISHED |
| Object | 1996-02-19 |
—
|
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: 1996-02-19 | Statement: [toonie, dateOfFirstIssue, 1996-02-19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfFirstIssue Context triple: [toonie, dateOfFirstIssue, 1996-02-19]
-
A.
firstIssueCoverDate
chosen
Indicates the date on which the first issue of something (such as a series, publication, or comic) was initially released or covered.
-
B.
firstSerialPublicationYear
Indicates the calendar year in which a work was first published in serial form.
-
C.
catalogueFirstIssued
Indicates the date or point in time when a catalogue was first issued or made publicly available.
-
D.
firstCollectedEditionYear
Indicates the year in which the first collected edition of a work was published or made available.
-
E.
firstTypicalEditionYear
Indicates the year in which the first typical or standard edition of a work was published or officially issued.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82cf3848190b0b2b6c9e65bc70b |
completed | April 15, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69de9a69d7848190b2b4662dd30f20e9 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:59 a.m.