Triple
T7044467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AAA battery |
E163595
|
entity |
| Predicate | hasPolarity |
P32373
|
FINISHED |
| Object | positive terminal |
—
|
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: positive terminal | Statement: [AAA battery, hasPolarity, positive terminal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPolarity Context triple: [AAA battery, hasPolarity, positive terminal]
-
A.
polarity
Indicates whether the relationship or statement is affirmed (positive) or denied/opposed (negative).
-
B.
logicalPolarity
Indicates that the truth value of a statement is affirmed (positive) or denied (negative) relative to some logical context.
-
C.
polarizationLevel
Indicates the degree or intensity of polarization present in a given context, such as between opinions, groups, or signals.
-
D.
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.
-
E.
signalPolarity
Indicates the directional orientation or sign (positive or negative) of a signal relative to a defined reference.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bb602081908bfa6186a1f5a4b4 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:37 p.m.