Triple
T24866762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spearman rank-order correlation coefficient |
E622306
|
entity |
| Predicate | rangeEndpoint |
P9332
|
FINISHED |
| Object | 1 indicates perfect positive monotonic association |
—
|
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: 1 indicates perfect positive monotonic association | Statement: [Spearman rank-order correlation coefficient, rangeEndpoint, 1 indicates perfect positive monotonic association]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rangeEndpoint Context triple: [Spearman rank-order correlation coefficient, rangeEndpoint, 1 indicates perfect positive monotonic association]
-
A.
rangeEnd
chosen
Indicates the endpoint or upper boundary value of a specified range in a relationship or measurement.
-
B.
rangeDescription
Indicates the span or interval of values, positions, or extents over which something applies or is valid.
-
C.
rangeOf
Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
-
D.
rangeVariant
Indicates that one entity is a variant or alternative form within the value range defined or covered by another entity.
-
E.
rangeExpansion
Indicates an increase in the spatial or contextual extent over which something applies, operates, or is distributed.
- 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_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:22 a.m.