Triple
T1390304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higgs field |
E29938
|
entity |
| Predicate | hasDegreeOfFreedom |
P28226
|
FINISHED |
| Object | four real components before symmetry breaking |
—
|
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: four real components before symmetry breaking | Statement: [Higgs field, hasDegreeOfFreedom, four real components before symmetry breaking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDegreeOfFreedom Context triple: [Higgs field, hasDegreeOfFreedom, four real components before symmetry breaking]
-
A.
isDegreeOf
Indicates that one entity is an academic or professional degree held, pursued, or associated with another entity.
-
B.
hasDegree
Indicates that an entity possesses or has been awarded a specific academic or professional degree.
-
C.
hasKinematicProperty
Indicates that an entity possesses a specific motion-related characteristic, such as velocity, acceleration, or trajectory.
-
D.
hasDimension
Indicates that an entity possesses a specific measurable extent or size along one or more axes (e.g., length, width, height).
-
E.
hasRelativeAngularMomentum
Indicates that one entity possesses angular momentum defined relative to another reference entity or frame.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c35e023c8190b45688796d90534b |
completed | March 1, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69a4beffcf808190ab4cd0271257ce63 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c2f16ae081908c92792253f3eb4b |
completed | March 1, 2026, 10:51 p.m. |
Created at: March 1, 2026, 7:59 p.m.