Triple
T15030914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | stress–energy tensor |
E378339
|
entity |
| Predicate | electromagneticFieldForm |
P116455
|
FINISHED |
| Object | T^{μν} = F^{μα} F^{ν}{}_{α} - 1/4 g^{μν} F_{αβ} F^{αβ} |
—
|
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: T^{μν} = F^{μα} F^{ν}{}_{α} - 1/4 g^{μν} F_{αβ} F^{αβ} | Statement: [stress–energy tensor, electromagneticFieldForm, T^{μν} = F^{μα} F^{ν}{}_{α} - 1/4 g^{μν} F_{αβ} F^{αβ}]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electromagneticFieldForm
Context triple: [stress–energy tensor, electromagneticFieldForm, T^{μν} = F^{μα} F^{ν}{}_{α} - 1/4 g^{μν} F_{αβ} F^{αβ}]
-
A.
symbolForElectricField
Indicates that one entity is used as the symbolic representation of the electric field associated with another entity.
-
B.
associatedElectromagneticPotential
Indicates that one entity stands in the role of the electromagnetic potential (e.g., scalar or vector potential) that is mathematically or physically associated with another entity.
-
C.
magneticField
Indicates the presence, strength, or configuration of a magnetic field associated with an entity or region.
-
D.
nativeForm
Indicates that one entity is the original or native linguistic form of another, such as a word’s form in its source language.
-
E.
typicalFieldStrength
Indicates the usual or characteristic magnitude of a field (such as electric, magnetic, or other physical field) associated with an entity or situation.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e2416081908dfba48d7f7b4a84 |
completed | April 15, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:59 a.m.