Triple
T4157760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How is pure natural science possible? |
E91456
|
entity |
| Predicate | originalTitleFragment |
P13516
|
FINISHED |
| Object | Wie ist reine Naturwissenschaft möglich? |
—
|
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: Wie ist reine Naturwissenschaft möglich? | Statement: [How is pure natural science possible?, originalTitleFragment, Wie ist reine Naturwissenschaft möglich?]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTitleFragment Context triple: [How is pure natural science possible?, originalTitleFragment, Wie ist reine Naturwissenschaft möglich?]
-
A.
originalTitleOfWork
Indicates that one work is the original title under which another work was first created, published, or released.
-
B.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
-
C.
originalLanguageTitle
chosen
Indicates the title of a work as it appears in its original language of creation or publication.
-
D.
originalTitleLanguage
Indicates the language in which a work’s original title was written or expressed.
-
E.
originalTitleAsFanFiction
Indicates that a work’s original title was used when it was first created or published as fan fiction.
- 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_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. |
Created at: March 9, 2026, 3:44 p.m.