Triple
T5425207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | relapsing-remitting multiple sclerosis |
E121346
|
entity |
| Predicate | isMostCommonFormOf |
P17382
|
FINISHED |
| Object | multiple sclerosis |
—
|
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: multiple sclerosis | Statement: [relapsing-remitting multiple sclerosis, isMostCommonFormOf, multiple sclerosis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMostCommonFormOf Context triple: [relapsing-remitting multiple sclerosis, isMostCommonFormOf, multiple sclerosis]
-
A.
dominantFormOf
chosen
Indicates that one form of something is the primary, prevailing, or most influential version relative to another form.
-
B.
moreCommonIn
Indicates that something occurs with greater frequency or prevalence in one group, context, or location than in another.
-
C.
isOftenAmericanizedFormOf
Indicates that one term is a version of another term that has been adapted into common American usage, typically in spelling, form, or style.
-
D.
standardFormUsedIn
Indicates that a particular standard form is employed or applied within a given context, process, or system.
-
E.
isMostly
Indicates that one entity constitutes the greater part or majority of another entity in amount, extent, or composition.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8911a7348190ad9378a248190f07 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd846b8bdc81909dcdc2a3084226f2 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.