Triple
T124031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Principia Mathematica |
E2507
|
entity |
| Predicate | secondVolumePublicationYear |
P25
|
FINISHED |
| Object | 1912 |
—
|
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: 1912 | Statement: [Principia Mathematica, secondVolumePublicationYear, 1912]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondVolumePublicationYear Context triple: [Principia Mathematica, secondVolumePublicationYear, 1912]
-
A.
publicationYear
chosen
Indicates the specific calendar year in which a work was formally published or released.
-
B.
secondPlanStartYear
Indicates the calendar year in which a second or subsequent plan begins.
-
C.
secondFullVersionReference
Indicates that an entity refers to a second complete or fully detailed version of another entity.
-
D.
publicationPeriod
Indicates the span of time during which something is published, active in publication, or valid as a published work.
-
E.
laterRepublishedWith
Indicates that an existing work was republished at a later time in a modified or updated form specified by the related entity.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a2573ce0ac8190b49fb31d3d475bf9 |
completed | Feb. 28, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69a2564a54948190ba30bee858173b27 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:27 a.m.