Triple
T24991676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | candela |
E625463
|
entity |
| Predicate | hasUnitClass |
P160835
|
FINISHED |
| Object | photometric unit |
—
|
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: photometric unit | Statement: [candela, hasUnitClass, photometric unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnitClass Context triple: [candela, hasUnitClass, photometric unit]
-
A.
hasUnitOf
Indicates that a quantity, measurement, or value is expressed in terms of a specific unit.
-
B.
hasUnitFeature
Indicates that something possesses a specific unit-related characteristic or attribute, such as a measurable feature expressed in defined units.
-
C.
hasUnitLevel
Indicates that something is associated with, measured at, or applicable to a specific unit level within a larger hierarchy or scale.
-
D.
hasUnitStructure
Indicates that an entity possesses a specific internal organization or arrangement that defines its structural composition.
-
E.
hasUnitStatus
Indicates that an entity is associated with a particular operational or condition status as a unit.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f60ac643108190ae81561267155791 |
completed | May 2, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f606c15af88190958856a9e467b826 |
completed | May 2, 2026, 2:14 p.m. |
Created at: April 18, 2026, 6:03 a.m.