Triple
T58724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feynman–Hellmann theorem |
E1162
|
entity |
| Predicate | mathematicalForm |
P2310
|
FINISHED |
| Object | dE_n/dλ = ⟨ψ_n| ∂H/∂λ |ψ_n⟩ |
—
|
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: dE_n/dλ = ⟨ψ_n| ∂H/∂λ |ψ_n⟩ | Statement: [Feynman–Hellmann theorem, mathematicalForm, dE_n/dλ = ⟨ψ_n| ∂H/∂λ |ψ_n⟩]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mathematicalForm Context triple: [Feynman–Hellmann theorem, mathematicalForm, dE_n/dλ = ⟨ψ_n| ∂H/∂λ |ψ_n⟩]
-
A.
keyFormula
chosen
Indicates that a formula serves as the primary or defining expression associated with an entity or relationship.
-
B.
hasFullForm
Indicates that one entity is the complete, expanded, or unabbreviated form of another entity.
-
C.
writtenForm
Indicates that one entity is the textual or orthographic representation (spelling or written version) of another entity.
-
D.
hasForm
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
E.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
- 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_69a24a552ef88190a0df287d68c65cba |
completed | Feb. 28, 2026, 1:52 a.m. |
| NER | Named-entity recognition | batch_69a250e401288190ba12322c9c5f07c9 |
completed | Feb. 28, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69a24e9f40908190a2f4a2111469b733 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 1:55 a.m.