Triple
T5425213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | relapsing-remitting multiple sclerosis |
E121346
|
entity |
| Predicate | typicalOnsetAgeRange |
P2736
|
FINISHED |
| Object | early adulthood |
—
|
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: early adulthood | Statement: [relapsing-remitting multiple sclerosis, typicalOnsetAgeRange, early adulthood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOnsetAgeRange Context triple: [relapsing-remitting multiple sclerosis, typicalOnsetAgeRange, early adulthood]
-
A.
typicalEligibilityAge
Indicates the usual or standard age at which an entity qualifies for or becomes eligible for a particular status, benefit, or activity.
-
B.
typicalOnsetLocation
Indicates the anatomical location where a condition, symptom, or process most commonly begins or first appears.
-
C.
typicalAgeAtSelection
Indicates the usual or most common age at which an entity is chosen or selected for a particular role, status, or process.
-
D.
ageRange
chosen
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
E.
typicalStartPeriod
Indicates the usual or standard time period during which something begins or is initiated.
- 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.