Triple
T4486053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | farad |
E107240
|
entity |
| Predicate | largerMultiples |
P10621
|
FINISHED |
| Object | kilofarad (kF) |
—
|
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: kilofarad (kF) | Statement: [farad, largerMultiples, kilofarad (kF)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largerMultiples Context triple: [farad, largerMultiples, kilofarad (kF)]
-
A.
maximumNumber
Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
-
B.
largerThan
chosen
Indicates that one entity has a greater size, extent, or magnitude than another entity.
-
C.
maximumRepeaters
Indicates the greatest number of repeaters that are allowed or observed within a given system, connection, or configuration.
-
D.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
E.
isSecondLargest
Indicates that one entity has a value or size that is greater than all others except for a single larger entity, making it the second largest in the compared set.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd556d29f08190bab1e872dd7e819f |
completed | March 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69bd5213e3d0819094b026989e686f01 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 12:59 p.m.