Triple
T2373643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ising model |
E46143
|
entity |
| Predicate | OnsagerSolutionYear |
P30119
|
FINISHED |
| Object | 1944 |
—
|
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: 1944 | Statement: [Ising model, OnsagerSolutionYear, 1944]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OnsagerSolutionYear Context triple: [Ising model, OnsagerSolutionYear, 1944]
-
A.
firstSolutionYear
chosen
Indicates the year in which the first solution to a given problem, task, or case was achieved or recorded.
-
B.
yearOfEinsteinsAnnusMirabilis
Indicates the specific calendar year in which Einstein's "Annus Mirabilis" (miracle year of groundbreaking scientific publications) occurred.
-
C.
NobelPrizeYear
Indicates the specific year in which an entity received or was awarded a Nobel Prize.
-
D.
proposedInYear
Indicates that something, such as a plan, idea, or piece of legislation, was formally put forward or suggested in a specific calendar year.
-
E.
derivationYear
Indicates the year in which something was derived, produced, or generated from a source.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abca4d89248190be7d712d5fa8382b |
completed | March 7, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69abc59d82f08190b7c36982d1ae783d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:56 p.m.