Triple
T1800116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Relativity of Wrong |
E39696
|
entity |
| Predicate | oftenCitedIn |
P9877
|
FINISHED |
| Object | discussions of scientific method |
—
|
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: discussions of scientific method | Statement: [The Relativity of Wrong, oftenCitedIn, discussions of scientific method]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenCitedIn Context triple: [The Relativity of Wrong, oftenCitedIn, discussions of scientific method]
-
A.
citesAs
Indicates that one entity references or acknowledges another as a source of information, authority, or evidence.
-
B.
stillCitedFor
Indicates that a work or source continues to be referenced or relied upon as a citation after its original publication or use.
-
C.
citationBy
chosen
Indicates that one work is cited or referenced by another work.
-
D.
hasCitationImpact
Indicates that one entity (such as a publication, author, or venue) exerts measurable influence on scholarly work through citations it receives or generates.
-
E.
associatedScholar
Indicates a relationship where a scholar is linked or connected to another entity (such as a work, institution, or concept) through relevant academic or intellectual involvement.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab61b6ea188190aab9fb839bf1e367 |
completed | March 6, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69aa61d2f7a8819090301f92d3e358c7 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.