Triple
T5150719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SI second |
E116185
|
entity |
| Predicate | replacedDefinitionOf |
P62240
|
FINISHED |
| Object | mean solar second |
—
|
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: mean solar second | Statement: [SI second, replacedDefinitionOf, mean solar second]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedDefinitionOf Context triple: [SI second, replacedDefinitionOf, mean solar second]
-
A.
replacedWith
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
-
B.
replacedStandard
Indicates that one standard has been superseded or taken the place of another standard.
-
C.
replacesConcept
Indicates that one concept takes the place of, or supersedes, another concept in a given context or system.
-
D.
replacedBecause
Indicates that one entity has been substituted for another specifically due to a particular reason or cause.
-
E.
replacedDuring
Indicates that one entity took the place of another entity during a specified time period or interval.
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c1354c81908176703b4853c1a4 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b0fbb88190851e2d7ae1bdcc09 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79bf9b088190a556dc02f10204e4 |
completed | March 20, 2026, 4:45 p.m. |
Created at: March 20, 2026, 1:44 p.m.