Triple
T14984194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooley–Tukey Fast Fourier Transform algorithm |
E373658
|
entity |
| Predicate | historicallySignificantIn |
P92799
|
FINISHED |
| Object | numerical analysis |
—
|
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: numerical analysis | Statement: [Cooley–Tukey Fast Fourier Transform algorithm, historicallySignificantIn, numerical analysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallySignificantIn Context triple: [Cooley–Tukey Fast Fourier Transform algorithm, historicallySignificantIn, numerical analysis]
-
A.
hasHistoricSignificanceFor
chosen
Indicates that something holds notable historical importance or relevance for a particular entity or group.
-
B.
hasHistoricalSignificance
Indicates that something possesses notable importance or influence within a historical context or period.
-
C.
historicalNotability
Indicates that an entity is recognized as having significant importance, influence, or prominence in history.
-
D.
historicallyImportantCenter
Indicates that a place has served as a significant focal point of historical events, activities, or influence.
-
E.
isHistoricPlace
Indicates that a place holds recognized historical significance, often due to its age, events, or cultural importance.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6ff4a7c8190ab7554f3a1a09b67 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:52 a.m.