Triple
T33588656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faddeev–Popov ghosts |
E860357
|
entity |
| Predicate | LorentzTransformationProperty |
P140479
|
FINISHED |
| Object | scalar |
—
|
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: scalar | Statement: [Faddeev–Popov ghosts, LorentzTransformationProperty, scalar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LorentzTransformationProperty Context triple: [Faddeev–Popov ghosts, LorentzTransformationProperty, scalar]
-
A.
isLorentzCovariant
chosen
Indicates that the quantity or equation preserves its form under Lorentz transformations between inertial reference frames.
-
B.
transformationProperty
Indicates that one entity has a specific behavior, constraint, or characteristic related to how it changes, converts, or is transformed into another form or state.
-
C.
isLorentz
Indicates that a transformation preserves the Lorentzian spacetime interval, i.e., it is a valid Lorentz transformation between inertial reference frames.
-
D.
symbolForLorentzFactor
Indicates that one entity is used as the symbolic representation of the Lorentz factor associated with another entity or context.
-
E.
settingOfTransformation
Indicates the place, context, or environment in which a transformation of an entity or state occurs.
- 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f77626d08190821cdc5a96e621fb |
completed | May 3, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:40 a.m.