Triple
T14440076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The C++ Programming Language |
E358061
|
entity |
| Predicate | fourthEditionPublicationYear |
P37092
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [The C++ Programming Language, fourthEditionPublicationYear, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthEditionPublicationYear Context triple: [The C++ Programming Language, fourthEditionPublicationYear, 2013]
-
A.
fourthEditionYear
chosen
Indicates the year in which the fourth edition of something (such as a work, product, or publication) was released or published.
-
B.
fourthVolumePublicationYear
Indicates the year in which the fourth volume of a multi-volume work was published.
-
C.
fourthInstallmentReleaseYear
Indicates the calendar year in which the fourth installment of a series was released.
-
D.
fifthEditionYear
Indicates the year in which the fifth edition of something (e.g., a work, product, or event) was released or took place.
-
E.
7thEditionPublicationYear
Indicates the year in which the seventh edition of a work was published.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914c1398819090fa2a74d257ba3e |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.