Triple
T6397006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AdS isometry group SO(2,d) |
E143965
|
entity |
| Predicate | isNonCompact |
P63679
|
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: [AdS isometry group SO(2,d), isNonCompact, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonCompact Context triple: [AdS isometry group SO(2,d), isNonCompact, true]
-
A.
isNoncompact
chosen
Indicates that the object (such as a space or set) lacks compactness, meaning it does not satisfy the property that every open cover has a finite subcover.
-
B.
isCompact
Indicates that an object or space has a small, efficiently arranged size or volume relative to its function or contents.
-
C.
isNonContiguous
Indicates that the related elements are separated by one or more gaps and do not form a single continuous sequence or region.
-
D.
isNonUniform
Indicates that the property, distribution, or structure of something varies across its domain rather than remaining constant or uniform.
-
E.
isLocallyCompact
Indicates that a topological space has the property that every point has a neighborhood whose closure is compact.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068953968819083a94f5de3e11819 |
completed | March 22, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69c060f25c088190b433f78553ff1d84 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:35 p.m.