Triple
T34585664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S^2 × R geometry |
E888036
|
entity |
| Predicate | hasFiniteVolumeCompactModels |
P200151
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [S^2 × R geometry, hasFiniteVolumeCompactModels, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFiniteVolumeCompactModels Context triple: [S^2 × R geometry, hasFiniteVolumeCompactModels, true]
-
A.
hasModels
Indicates that an entity possesses, defines, or is associated with one or more models (such as conceptual, mathematical, or data models).
-
B.
hasCompactification
Indicates that one mathematical object can be embedded into a compact space that extends it in a structured way.
-
C.
hasThreeVolumeStructureRole
Indicates that an entity participates in or fulfills a role within a three-volume structural organization or framework.
-
D.
hasVolumeElement
Indicates that something includes or is associated with a specific volumetric component or element within its structure or representation.
-
E.
areFiniteInNumber
Indicates that the related entities form a set with a finite, countable number of members.
- 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_69ff779e3f0c8190a861f1e4000fd9d9 |
completed | May 9, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69ff77202638819086e4b9f9c0bc7b31 |
completed | May 9, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69ff779d3d788190af5a2dbc4d7ca3c8 |
completed | May 9, 2026, 6:06 p.m. |
Created at: May 1, 2026, 2:03 a.m.