Triple
T7420207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | quadratic reciprocity law |
E171226
|
entity |
| Predicate | yearFirstCompleteProof |
P27180
|
FINISHED |
| Object | 1801 |
—
|
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: 1801 | Statement: [quadratic reciprocity law, yearFirstCompleteProof, 1801]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearFirstCompleteProof Context triple: [quadratic reciprocity law, yearFirstCompleteProof, 1801]
-
A.
wasFirstProvedBy
Indicates that a particular statement, theorem, or result was originally and for the first time demonstrated or established as true by a specified agent.
-
B.
hasFirstProofYear
chosen
Indicates the year in which something was first proven or formally demonstrated to be true.
-
C.
dateOfFirstControlledChainReaction
Indicates the calendar date on which the first successfully controlled nuclear chain reaction occurred.
-
D.
firstDeployedAt
Indicates the date and time when an entity was initially put into use or made operational.
-
E.
firstWinningWork
Indicates the relationship where a particular work is the first one for which an entity (such as a person or group) received a win, award, or notable victory.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2ea61248190886e8e55b42ba5f1 |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f0345040819094c5756dfa487faf |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:11 p.m.