Triple
T33566952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GRS80 |
E859784
|
entity |
| Predicate | flatteningDefinition |
P176894
|
FINISHED |
| Object | (a−b)/a |
—
|
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: (a−b)/a | Statement: [GRS80, flatteningDefinition, (a−b)/a]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flatteningDefinition Context triple: [GRS80, flatteningDefinition, (a−b)/a]
-
A.
flattening
Indicates that one entity causes another entity to become flat or more level, reducing its height, thickness, or irregularities.
-
B.
isFlat
Indicates that something has a level, even, or smooth surface without significant curves, bumps, or elevations.
-
C.
flatStages
Indicates that the stages or phases of an event, process, or competition are flat, meaning they lack significant variation in difficulty, elevation, or complexity across stages.
-
D.
hasFlat
Indicates that an entity possesses or is associated with a flat (an apartment or level dwelling unit).
-
E.
phaseDefinition
Indicates that one entity defines, specifies, or characterizes a particular phase or stage of another entity or process.
- 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_69f3497c1d288190a844ea699914e038 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f70b0ca081908b24a98937e6ef66 |
completed | May 3, 2026, 7:19 a.m. |
Created at: May 1, 2026, 1:40 a.m.