Triple
T24866751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spearman rank-order correlation coefficient |
E622306
|
entity |
| Predicate | robustTo |
P67874
|
FINISHED |
| Object | outliers in raw data |
—
|
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: outliers in raw data | Statement: [Spearman rank-order correlation coefficient, robustTo, outliers in raw data]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: robustTo Context triple: [Spearman rank-order correlation coefficient, robustTo, outliers in raw data]
-
A.
isRobustVariantOf
Indicates that one entity is a strengthened, more resilient, or more general form of another, preserving the original’s core properties while improving its robustness.
-
B.
isResistant
chosen
Indicates that an entity can withstand, oppose, or is not significantly affected by a specified force, influence, or agent.
-
C.
moreAdaptiveThan
Indicates that one entity is better able to adjust or respond effectively to changes or varying conditions than another entity.
-
D.
susceptibleTo
Indicates that one entity is vulnerable or likely to be affected, harmed, or influenced by another entity or factor.
-
E.
tolerates
Indicates that one entity endures, accepts, or allows the presence, behavior, or condition of another entity without intervening to stop or change it.
- 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:22 a.m.