Triple
T15030998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaluza–Klein theory |
E378341
|
entity |
| Predicate | yearQuantizedVersionProposed |
P25813
|
FINISHED |
| Object | 1926 |
—
|
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: 1926 | Statement: [Kaluza–Klein theory, yearQuantizedVersionProposed, 1926]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearQuantizedVersionProposed Context triple: [Kaluza–Klein theory, yearQuantizedVersionProposed, 1926]
-
A.
yearDecided
Indicates the specific calendar year in which a decision, ruling, or resolution was formally made or finalized.
-
B.
proposedInYear
chosen
Indicates that something, such as a plan, idea, or piece of legislation, was formally put forward or suggested in a specific calendar year.
-
C.
yearApproved
Indicates the specific year in which something (such as a proposal, product, or decision) was formally approved.
-
D.
derivationYear
Indicates the year in which something was derived, produced, or generated from a source.
-
E.
yearOrchestrated
Indicates the specific year in which a musical work was orchestrated or arranged for orchestra.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e2416081908dfba48d7f7b4a84 |
completed | April 15, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:59 a.m.