Triple
T25979627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | four-momentum operator |
E646031
|
entity |
| Predicate | timeComponentProportionalTo |
P159625
|
FINISHED |
| Object | Hamiltonian |
—
|
NE NERFINISHED |
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: Hamiltonian | Statement: [four-momentum operator, timeComponentProportionalTo, Hamiltonian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeComponentProportionalTo Context triple: [four-momentum operator, timeComponentProportionalTo, Hamiltonian]
-
A.
timeScaleUnit
Indicates the unit of temporal measurement (such as seconds, minutes, or hours) used to express a given time scale.
-
B.
timeScaleCategory
Indicates the classification of an event or process based on the temporal scale or duration over which it occurs.
-
C.
timeDomainComponent
Indicates that one entity is a component or segment of another entity within the time domain, such as a specific time interval or temporal part of a larger temporal whole.
-
D.
timeComponentSign
Indicates that a temporal component (such as hours, minutes, or seconds) is associated with a positive or negative sign, specifying the direction or offset of a time value.
-
E.
timeProperty
Indicates that one entity specifies, constrains, or characterizes a temporal aspect or timing-related attribute of another entity.
- 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6050e507881909e3bc0c33e8a8c7e |
completed | May 2, 2026, 2:07 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 8:54 a.m.