Triple
T3901912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States customary units |
E90512
|
entity |
| Predicate | massBaseUnit |
P25188
|
FINISHED |
| Object | pound (defined as exactly 0.45359237 kilogram) |
—
|
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: pound (defined as exactly 0.45359237 kilogram) | Statement: [United States customary units, massBaseUnit, pound (defined as exactly 0.45359237 kilogram)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massBaseUnit Context triple: [United States customary units, massBaseUnit, pound (defined as exactly 0.45359237 kilogram)]
-
A.
basedUnit
chosen
Indicates that one unit is defined in terms of, or derived from, another more fundamental unit.
-
B.
unitOfMeasure
Indicates that one entity specifies the standard unit in which the quantity or value of another entity is measured.
-
C.
SIUnit
Indicates that something is expressed or measured using a unit from the International System of Units (SI).
-
D.
unitSystem
Indicates the system of measurement units (such as metric or imperial) that is used to quantify associated values or attributes.
-
E.
natureOfUnit
Indicates the type or category that characterizes what kind of unit something is (e.g., its nature or classification as a unit).
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75b5b808190a348a31b1325d3d0 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.