Triple
T1390269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higgs field |
E29938
|
entity |
| Predicate | hasVacuumExpectationValue |
P9773
|
FINISHED |
| Object | approximately 246 GeV |
—
|
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: approximately 246 GeV | Statement: [Higgs field, hasVacuumExpectationValue, approximately 246 GeV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVacuumExpectationValue Context triple: [Higgs field, hasVacuumExpectationValue, approximately 246 GeV]
-
A.
isVacuumSolution
Indicates that a spacetime metric satisfies Einstein’s field equations in the absence of matter or non-gravitational energy (i.e., the stress-energy tensor is zero).
-
B.
hasValue
Indicates that an entity is associated with a specific numerical, textual, or otherwise defined value.
-
C.
hasStabilityExpectation
Indicates that one entity expects another entity to maintain a certain level or condition of stability over time.
-
D.
isValuedFor
Indicates that one entity is appreciated, esteemed, or considered important because of a particular quality, contribution, or characteristic it provides to another entity.
-
E.
hasApproximateValue
chosen
Indicates that one entity’s value is close to, but not exactly equal to, the value of another entity within an acceptable margin of error.
- 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_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. |
Created at: March 1, 2026, 7:59 p.m.