Triple
T35889390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time |
E1037740
|
entity |
| Predicate | hasBaseUnitSymbol |
P73884
|
FINISHED |
| Object | s |
—
|
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: s | Statement: [Time, hasBaseUnitSymbol, s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBaseUnitSymbol Context triple: [Time, hasBaseUnitSymbol, s]
-
A.
isBaseUnitOf
Indicates that one unit serves as the fundamental reference unit from which another unit in the same measurement system is defined or derived.
-
B.
isBaseUnit
chosen
Indicates that the referenced unit is a fundamental measurement unit in a system, not derived from other units.
-
C.
hasBasicUnit
Indicates that one entity is composed of, defined by, or fundamentally characterized through another entity that serves as its basic or minimal unit.
-
D.
hasSIBaseDimensionSymbol
Indicates that a physical quantity or unit is associated with a specific SI base dimension symbol (e.g., L, M, T) representing its fundamental dimensional nature.
-
E.
hasUnitOf
Indicates that a quantity, measurement, or value is expressed in terms of a specific 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: May 3, 2026, 4:06 p.m.