Triple
T461790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Sitter spacetime |
E7354
|
entity |
| Predicate | hasCosmologicalConstantSign |
P14250
|
FINISHED |
| Object | positive |
—
|
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: positive | Statement: [de Sitter spacetime, hasCosmologicalConstantSign, positive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCosmologicalConstantSign Context triple: [de Sitter spacetime, hasCosmologicalConstantSign, positive]
-
A.
hasCosmogony
Indicates that an entity is associated with, or characterized by, a particular account or doctrine of the origin and development of the universe or cosmos.
-
B.
hasSign
Indicates that an entity possesses, displays, or is associated with a particular sign or symbol.
-
C.
universe
Indicates that something pertains to, exists within, or is associated with the entirety of space, time, matter, and phenomena collectively referred to as the universe.
-
D.
constant
Indicates that the relationship or value does not change across different instances, contexts, or over time.
-
E.
usesConstant
Indicates that one entity makes use of a specific constant value defined or provided by another entity.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efbed5b88190a45716812eb4cfdf |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2ede8eac081908dffade6a5e7950b |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ef06d2fc8190b379d575215a8518 |
completed | Feb. 28, 2026, 1:35 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.