Triple
T6801369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poincaré lemma |
E156193
|
entity |
| Predicate | concernsDegree |
P11116
|
FINISHED |
| Object | k-forms with k > 0 |
—
|
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: k-forms with k > 0 | Statement: [Poincaré lemma, concernsDegree, k-forms with k > 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsDegree Context triple: [Poincaré lemma, concernsDegree, k-forms with k > 0]
-
A.
concern
chosen
Indicates that one entity is about, relates to, or is of interest or importance to another entity.
-
B.
concernsProblem
Indicates that something is about, related to, or deals with a particular problem or issue.
-
C.
raisedConcernAbout
Indicates that one entity has expressed worry, doubt, or objection regarding another entity or issue.
-
D.
concernsLayer
Indicates that something is related or pertains specifically to a particular layer within a layered structure or system.
-
E.
concernsRight
Indicates that something is about or relates specifically to a legal or moral right held by an 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2e595188190a0bb4b595df3adb2 |
completed | March 27, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69c6d099bf08819089a9f9894d037e74 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:16 p.m.