Triple
T1169528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALS |
E24881
|
entity |
| Predicate | hasTypicalOnsetAge |
P9036
|
FINISHED |
| Object | middle 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: middle adulthood | Statement: [ALS, hasTypicalOnsetAge, middle adulthood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalOnsetAge Context triple: [ALS, hasTypicalOnsetAge, middle adulthood]
-
A.
hasEarlyOnsetForm
Indicates that the related condition, trait, or phenomenon occurs in an early-onset form, typically manifesting earlier in life than usual.
-
B.
hasOnset
chosen
Indicates the point in time or condition at which a process, event, or state begins.
-
C.
hasLateOnsetForm
Indicates that an entity has a variant or form that manifests or becomes apparent later in life or at a relatively advanced stage.
-
D.
typicalEligibilityAge
Indicates the usual or standard age at which an entity qualifies for or becomes eligible for a particular status, benefit, or activity.
-
E.
hasAge
Indicates that an entity possesses a specific age value, typically expressed as a number of time units since its birth or creation.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bce821b481908bc278a3fa7973f4 |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5656948190b0b1d5446ad06005 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.