Triple
T24991653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | candela |
E625463
|
entity |
| Predicate | definedUsingConstant |
P9148
|
FINISHED |
| Object | K_cd |
—
|
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: K_cd | Statement: [candela, definedUsingConstant, K_cd]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definedUsingConstant Context triple: [candela, definedUsingConstant, K_cd]
-
A.
usesConstant
chosen
Indicates that one entity makes use of a specific constant value defined or provided by another entity.
-
B.
constantType
Indicates that one entity is a constant whose value or nature is of the specified type.
-
C.
includesConstant
Indicates that one entity contains or explicitly references a specific constant value within its definition or structure.
-
D.
variableHeldConstant
Indicates that a particular variable is maintained at a fixed value and not allowed to change while other factors or conditions are varied or analyzed.
-
E.
definedVia
Indicates that one entity is specified, characterized, or given its meaning by reference to another entity or construct.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 18, 2026, 6:03 a.m.