Triple
T767973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Digital Object Identifier system |
E16216
|
entity |
| Predicate | standardPublicationYear |
P25
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Digital Object Identifier system, standardPublicationYear, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardPublicationYear Context triple: [Digital Object Identifier system, standardPublicationYear, 2012]
-
A.
publicationYear
chosen
Indicates the specific calendar year in which a work was formally published or released.
-
B.
publicationPeriod
Indicates the span of time during which something is published, active in publication, or valid as a published work.
-
C.
originYear
Indicates the year in which something first originated, was created, or began.
-
D.
publicationDecade
Indicates the decade during which a publication was released or made publicly available.
-
E.
stateOfPublication
Indicates the jurisdiction or territorial state in which a work is formally published or made publicly available.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a765ba688190ab328bb159583077 |
completed | March 1, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a5074c788190a74fc20ad24e2d26 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.