Triple
T3901913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States customary units |
E90512
|
entity |
| Predicate | volumeBaseUnit |
P25188
|
FINISHED |
| Object | US liquid gallon (defined as exactly 231 cubic inches) |
—
|
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: US liquid gallon (defined as exactly 231 cubic inches) | Statement: [United States customary units, volumeBaseUnit, US liquid gallon (defined as exactly 231 cubic inches)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volumeBaseUnit Context triple: [United States customary units, volumeBaseUnit, US liquid gallon (defined as exactly 231 cubic inches)]
-
A.
volume
Indicates the amount of three-dimensional space an entity occupies or contains.
-
B.
typeOfUnit
Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
-
C.
unitOfMeasure
Indicates that one entity specifies the standard unit in which the quantity or value of another entity is measured.
-
D.
basedUnit
chosen
Indicates that one unit is defined in terms of, or derived from, another more fundamental unit.
-
E.
typeOfMeasure
Indicates that one entity specifies the kind or category of measurement used to quantify or evaluate another entity.
- 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.