Triple
T587752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxwell stress tensor |
E15195
|
entity |
| Predicate | hasAlternativeFormulation |
P3660
|
FINISHED |
| Object | covariant energy-momentum tensor form |
—
|
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: covariant energy-momentum tensor form | Statement: [Maxwell stress tensor, hasAlternativeFormulation, covariant energy-momentum tensor form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternativeFormulation Context triple: [Maxwell stress tensor, hasAlternativeFormulation, covariant energy-momentum tensor form]
-
A.
hasFormulation
chosen
Indicates that one entity is expressed, prepared, or configured in a particular form or composition defined by another entity.
-
B.
hasFormulationType
Indicates the specific way something is physically prepared or presented, such as its dosage form, composition, or delivery format.
-
C.
isAlternativeTo
Indicates that one entity can serve as a substitute or different option in place of another.
-
D.
hasNonStandardForm
Indicates that an entity possesses a form, variant, or representation that deviates from the standard, canonical, or commonly accepted form.
-
E.
mathematicallyFormulatedBy
Indicates that something (such as a concept, model, or theory) is expressed or defined using mathematical formulations created by a particular agent.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b9bf0cc8190a145ccd6fc501349 |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494ca68448190a516b9c3525d8916 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.