Triple
T13001239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSI 1* |
E322173
|
entity |
| Predicate | relativeLevelInCSI |
P25304
|
FINISHED |
| Object | lower than CSI 2* |
—
|
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: lower than CSI 2* | Statement: [CSI 1*, relativeLevelInCSI, lower than CSI 2*]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeLevelInCSI Context triple: [CSI 1*, relativeLevelInCSI, lower than CSI 2*]
-
A.
relativeLevel
chosen
Indicates a comparative relationship specifying how one entity’s level, degree, or intensity of some property stands relative to that of another entity.
-
B.
representedLevel
Indicates that one entity denotes or encodes the degree, intensity, or value (i.e., the level) of another entity or property.
-
C.
representationLevel
Indicates the degree or layer at which something stands in for, models, or symbolizes something else (e.g., more concrete vs. more abstract representation).
-
D.
positionInCascade
Indicates the specific step or level an element occupies within an ordered cascade or sequence of dependent stages.
-
E.
positionInHierarchy
Indicates that one entity occupies a specific rank or level relative to another within an ordered hierarchy.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9828748190b2ad9ea29180b7d3 |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:47 p.m.