Triple
T17483313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NRZ-L |
E425716
|
entity |
| Predicate | alternativePolarityConvention |
P32373
|
FINISHED |
| Object | sometimes high level for 0 and low level for 1 |
—
|
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: sometimes high level for 0 and low level for 1 | Statement: [NRZ-L, alternativePolarityConvention, sometimes high level for 0 and low level for 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativePolarityConvention Context triple: [NRZ-L, alternativePolarityConvention, sometimes high level for 0 and low level for 1]
-
A.
logicalPolarity
Indicates that the truth value of a statement is affirmed (positive) or denied (negative) relative to some logical context.
-
B.
electricalPolarity
chosen
Indicates that there is a relationship specifying the direction or type of electrical charge or potential difference associated with an entity or connection.
-
C.
polarity
Indicates whether the relationship or statement is affirmed (positive) or denied/opposed (negative).
-
D.
alternativeCounting
Indicates that there exists another valid way of counting or enumerating the same set of items or events, distinct from the primary counting method.
-
E.
opposite
Indicates that one entity is positioned or oriented directly across from, or in a contrary or reverse relation to, another entity.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d06c2881909632845dd7a6b1e3 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.