Triple
T36871317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilbert's third problem |
E911228
|
entity |
| Predicate | concernsDimension |
P84908
|
FINISHED |
| Object | three-dimensional Euclidean space |
—
|
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: three-dimensional Euclidean space | Statement: [Hilbert's third problem, concernsDimension, three-dimensional Euclidean space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsDimension Context triple: [Hilbert's third problem, concernsDimension, three-dimensional Euclidean space]
-
A.
concernsMeasure
Indicates that something is about or relates specifically to a particular quantitative measure or measurement.
-
B.
concernsFeature
chosen
Indicates that something is about, relates to, or involves a particular feature.
-
C.
concernsDomain
Indicates that something (such as an action, statement, or item) is about, relates to, or is focused on a particular domain or field.
-
D.
concernsAddressed
Indicates that specific issues, worries, or topics raised by one party have been acknowledged and dealt with by another party.
-
E.
strategicConcernFor
Indicates a relationship where one entity considers another entity’s situation, actions, or outcomes important for its own long-term goals, risks, or strategic interests.
- 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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:13 p.m.