Triple
T37196900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheeger–Simons differential characters |
E921617
|
entity |
| Predicate | alternativeModelTo |
P18099
|
FINISHED |
| Object | smooth Deligne cohomology |
—
|
NE NERFINISHED |
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 Deligne cohomology | Statement: [Cheeger–Simons differential characters, alternativeModelTo, smooth Deligne cohomology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeModelTo Context triple: [Cheeger–Simons differential characters, alternativeModelTo, smooth Deligne cohomology]
-
A.
isAlternativeTo
Indicates that one entity can serve as a substitute or different option in place of another.
-
B.
alternativeUsedBy
Indicates that one entity serves as an alternative option or substitute that is used in place of another entity.
-
C.
alternativeOutcomeTo
Indicates that one outcome serves as a different possible result or scenario in place of another outcome.
-
D.
alternativeImplementation
Indicates that one implementation serves as a substitute or different way of realizing the same functionality or specification as another implementation.
-
E.
alternativeForm
chosen
Indicates that one entity is an alternative version, variant, or representation of another entity.
- 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_69f76ea313a08190a54404cd1e47da90 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.