Triple
T34585681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S^2 × R geometry |
E888036
|
entity |
| Predicate | localModelFor |
P181478
|
FINISHED |
| Object | 3-manifolds locally isometric to S^2 × R |
—
|
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: 3-manifolds locally isometric to S^2 × R | Statement: [S^2 × R geometry, localModelFor, 3-manifolds locally isometric to S^2 × R]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localModelFor Context triple: [S^2 × R geometry, localModelFor, 3-manifolds locally isometric to S^2 × R]
-
A.
hasLocalModel
Indicates that one entity possesses or uses a model that is stored or executed locally rather than accessed remotely.
-
B.
localFormOf
Indicates that one entity is a localized or region-specific version or variant of another, more general entity.
-
C.
localFactorAt
Indicates a relationship where a specific factor or influence is associated with, or applies at, a particular local point, position, or context.
-
D.
modelingLocation
Indicates the place or setting where the modeling activity or process occurs.
-
E.
localBehavior
Indicates that a behavior or effect is determined primarily by nearby or immediate context rather than by distant or global factors.
- 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_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69f77648979c8190b6cdbb835ab8987c |
completed | May 3, 2026, 4:22 p.m. |
Created at: May 1, 2026, 2:03 a.m.