Triple
T1463498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International System of Units |
E31565
|
entity |
| Predicate | definesPrefix |
P7276
|
FINISHED |
| Object | kilo |
—
|
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: kilo | Statement: [International System of Units, definesPrefix, kilo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesPrefix Context triple: [International System of Units, definesPrefix, kilo]
-
A.
hasPrefixMeaning
Indicates that one entity serves as a semantic prefix of another, contributing a specific meaning to the start of the second entity.
-
B.
standardPrefix
chosen
Indicates that one entity serves as the conventional or officially recognized prefix used before another entity.
-
C.
registrationPrefix
Indicates that an entity has a specific registration prefix code assigned to it as part of its official registration or identification.
-
D.
addressPrefix
Indicates that one address string serves as the starting portion or leading segment of another address.
-
E.
preambleBeginsWith
Indicates that the preamble of a document or text starts with a specified substring, phrase, or content.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5b89708819084fb9ba4ff293b8b |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48121e48190946c23c583e5fb64 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.