Triple
T27675439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacobi manifold |
E697764
|
entity |
| Predicate | hasUnderlyingObject |
P110019
|
FINISHED |
| Object | smooth manifold |
—
|
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: smooth manifold | Statement: [Jacobi manifold, hasUnderlyingObject, smooth manifold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingObject Context triple: [Jacobi manifold, hasUnderlyingObject, smooth manifold]
-
A.
hasUnderlyingEntity
chosen
Indicates that one entity serves as the fundamental or base entity upon which another entity is conceptually or structurally built.
-
B.
hasUnderlyingSet
Indicates that one mathematical structure is associated with, or based on, a specific underlying set of elements.
-
C.
hasUnderlyingWebsite
Indicates that one entity is supported, represented, or implemented by another entity that functions as its underlying website.
-
D.
hasUnderlyingMarket
Indicates that one entity is based on, derives its value from, or is traded with reference to another entity that serves as its fundamental market.
-
E.
hasUnderlyingAssets
Indicates that one entity is supported, backed, or derived from another entity or set of entities that serve as its foundational assets.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 27, 2026, 2:43 p.m.