Triple
T8669850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pál Turán |
E205766
|
entity |
| Predicate | publicationCount |
P13769
|
FINISHED |
| Object | over 250 mathematical papers |
—
|
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: over 250 mathematical papers | Statement: [Pál Turán, publicationCount, over 250 mathematical papers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationCount Context triple: [Pál Turán, publicationCount, over 250 mathematical papers]
-
A.
numberOfPapers
chosen
Indicates the quantity of papers associated with a given entity.
-
B.
yearWorkWritten
Indicates the year in which a particular work was written or created.
-
C.
publicationType
Indicates the specific category or format of a published work that characterizes how it is issued or presented.
-
D.
publicationCollection
Indicates that one entity is a collection or grouping that contains or organizes multiple publication entities.
-
E.
publicationAbout
Indicates that a publication has content whose subject or focus is the referenced 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4917cb9881909a73b74e54250613 |
completed | March 31, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cc4564e018819081036722f3e42a71 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:31 p.m.