Triple
T6938582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unsolved Problems in Number Theory |
E160614
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Springer |
E87773
|
NE 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: Springer | Statement: [Unsolved Problems in Number Theory, publisher, Springer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Springer Context triple: [Unsolved Problems in Number Theory, publisher, Springer]
-
A.
Springer
chosen
Springer is a major global academic publishing company known for its extensive catalog of scientific, technical, and medical books and journals.
-
B.
Elsevier
Elsevier is a major Dutch academic publishing company known for producing and distributing scientific, technical, and medical journals, books, and research databases worldwide.
-
C.
Wiley
Wiley is a masculine given name, often associated with notable American figures such as aviator Wiley Post.
-
D.
Wiley-VCH
Wiley-VCH is a German-based scientific publishing company known for producing leading journals and books in physics, chemistry, and related fields.
-
E.
CRC Press
CRC Press is a prominent academic and professional publisher, best known for its extensive catalog of scientific, technical, and medical books and reference works.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da62d2f88190968d3fea538a95c9 |
completed | March 27, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7515509148190b5739cdf8cd7a28a |
completed | March 28, 2026, 3:56 a.m. |
Created at: March 27, 2026, 2:28 p.m.