Triple
T26628582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2009 Abraham Lincoln Commemorative Silver Dollar |
E668427
|
entity |
| Predicate | birthAnniversaryYear |
P21426
|
FINISHED |
| Object | 1809–2009 bicentennial |
—
|
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: 1809–2009 bicentennial | Statement: [2009 Abraham Lincoln Commemorative Silver Dollar, birthAnniversaryYear, 1809–2009 bicentennial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: birthAnniversaryYear Context triple: [2009 Abraham Lincoln Commemorative Silver Dollar, birthAnniversaryYear, 1809–2009 bicentennial]
-
A.
anniversaryOf
Indicates that one event or date marks the commemoration or yearly recurrence of another specific event.
-
B.
yearOfBirth
chosen
Indicates the specific calendar year in which an entity was born.
-
C.
anniversaryNumber
Indicates the specific ordinal count of an anniversary occurrence in a recurring commemorative event or relationship.
-
D.
childBirthYear
Indicates the calendar year in which a child of the given parent was born.
-
E.
typeOfAnniversary
Indicates the specific category or kind of anniversary that an event or date represents (e.g., wedding, work, founding).
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f615eb58b08190977be06263d41613 |
completed | May 2, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:24 a.m.