Triple
T34419467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cohomologie Galoisienne |
E883486
|
entity |
| Predicate | areaOf |
P178927
|
FINISHED |
| Object | mathematics |
—
|
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: mathematics | Statement: [Cohomologie Galoisienne, areaOf, mathematics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaOf Context triple: [Cohomologie Galoisienne, areaOf, mathematics]
-
A.
area
Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
-
B.
areaApprox
Indicates that one entity’s area is approximately equal to the area of another entity.
-
C.
coreAreaOf
Indicates that one entity is the central, primary, or most important area or domain of focus for another entity.
-
D.
measurementArea
Indicates that a specified area is the spatial extent over which a measurement is taken or considered valid.
-
E.
physicalArea
Indicates a relationship where an entity has, occupies, or is associated with a specific physical area or spatial extent.
- F. None of above. chosen
Provenance (4 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_69f349c2e3b88190a67834eb5bcffeaf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f719458378819081725f544efb1173 |
completed | May 3, 2026, 9:45 a.m. |
Created at: May 1, 2026, 2 a.m.