Triple
T34676828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satisfaction with Life Scale |
E890513
|
entity |
| Predicate | negativelyCorrelatesWith |
P175084
|
FINISHED |
| Object | depression |
—
|
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: depression | Statement: [Satisfaction with Life Scale, negativelyCorrelatesWith, depression]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: negativelyCorrelatesWith Context triple: [Satisfaction with Life Scale, negativelyCorrelatesWith, depression]
-
A.
antiCorrelatedWith
chosen
Indicates that increases in one quantity are systematically associated with decreases in another, and vice versa.
-
B.
negativePhaseAssociatedWith
Indicates an association between something and a negative or unfavorable phase, state, or stage in a process or condition.
-
C.
negates
Indicates that one entity denies, contradicts, or renders false the assertion, state, or effect expressed by another.
-
D.
notStronglyAssociatedWith
Indicates that two entities have little to no meaningful or statistically significant relationship or connection with each other.
-
E.
negativeType
Indicates that one entity is classified as a negative, undesirable, or disfavored type in relation to another or within a given context.
- 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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f723241a188190bc3e8b2236279511 |
completed | May 3, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:05 a.m.