Triple
T8850242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilbert’s seventeenth problem |
E210619
|
entity |
| Predicate | posedInYear |
P61341
|
FINISHED |
| Object | 1900 |
—
|
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: 1900 | Statement: [Hilbert’s seventeenth problem, posedInYear, 1900]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: posedInYear Context triple: [Hilbert’s seventeenth problem, posedInYear, 1900]
-
A.
compositionYear
Indicates the year in which a work (such as a piece of music, art, or literature) was originally created or composed.
-
B.
foundInYear
chosen
Indicates the specific calendar year in which something was discovered, created, established, or otherwise found.
-
C.
formedInYear
Indicates the year in which an entity was originally established, created, or came into existence.
-
D.
playedInYear
Indicates that an entity participated in or was active in a particular activity, event, or role during a specified calendar year.
-
E.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60abb0748190af41d4e1f419e39c |
completed | April 1, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cc5c25b874819084c9ba391703e066 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:49 p.m.