Triple
T25828830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planck density |
E650603
|
entity |
| Predicate | hasDimensionalFormula |
P70388
|
FINISHED |
| Object | M L^−3 |
—
|
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: M L^−3 | Statement: [Planck density, hasDimensionalFormula, M L^−3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDimensionalFormula Context triple: [Planck density, hasDimensionalFormula, M L^−3]
-
A.
dimensionFormula
chosen
Indicates a mathematical or logical expression that defines how a particular dimension (such as size, measure, or extent) is derived or calculated from other quantities.
-
B.
dimensionalRelation
Indicates a relationship that compares or connects entities based on their dimensions, such as size, length, width, height, or other measurable extents.
-
C.
hasDimensionlessParameter
Indicates that an entity is associated with a parameter that has no physical units (a pure, dimensionless quantity).
-
D.
dimensionlessForm
Indicates that one quantity is expressed in a normalized, unitless form relative to a reference scale or value.
-
E.
hasDerivedUnit
Indicates that one unit is derived from another unit through a defined combination of base units or mathematical operations.
- 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_69e7ab37438081908f1ccf6284839520 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 22, 2026, 7:37 a.m.