Triple
T38260559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | affine differential geometry |
E1017916
|
entity |
| Predicate | hasTypicalObject |
P76740
|
FINISHED |
| Object | elliptic affine sphere |
—
|
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: elliptic affine sphere | Statement: [affine differential geometry, hasTypicalObject, elliptic affine sphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalObject Context triple: [affine differential geometry, hasTypicalObject, elliptic affine sphere]
-
A.
typicalObjectType
chosen
Indicates that something is a common or characteristic type of object typically associated with or involved in another entity or situation.
-
B.
hasTypicalInstance
Indicates that a class or category is exemplified by a specific, representative instance that typifies its general characteristics.
-
C.
hasTypicalBody
Indicates that an entity possesses the standard or characteristic physical form commonly associated with its kind or category.
-
D.
hasObject
Indicates that an entity is associated with or possesses a particular object as part of a relationship or action.
-
E.
hasTypicalSubject
Indicates that something is commonly or characteristically used as the subject (agent or topic) of a given relation or action.
- 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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a00119d821c8190874786391b27ef23 |
completed | May 10, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_6a001143fb6881909ac0ae8bfea04351 |
completed | May 10, 2026, 5:01 a.m. |
Created at: May 3, 2026, 4:30 p.m.