Triple
T4157710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How is pure mathematics possible? |
E91455
|
entity |
| Predicate | relatedQuestion |
P54149
|
FINISHED |
| Object | How is pure natural science possible? |
—
|
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: How is pure natural science possible? | Statement: [How is pure mathematics possible?, relatedQuestion, How is pure natural science possible?]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedQuestion Context triple: [How is pure mathematics possible?, relatedQuestion, How is pure natural science possible?]
-
A.
relatedTest
Indicates that there exists some form of connection or association between one test and another.
-
B.
centralQuestion
Indicates that something is the main issue, problem, or inquiry around which a discussion, work, or investigation is focused.
-
C.
relatedForm
Indicates that one entity is an alternative or variant form of another, such as a different spelling, inflection, or closely related lexical form.
-
D.
raisesQuestion
Indicates that one entity causes or prompts a question or doubt to arise about another entity or topic.
-
E.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
- F. None of above. chosen
Provenance (4 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018dc90c8190a754b1bfbc802e80 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af0320775c8190b90d80f512060f1c |
completed | March 9, 2026, 5:28 p.m. |
Created at: March 9, 2026, 3:44 p.m.