Triple
T279770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asperger syndrome |
E5326
|
entity |
| Predicate | hasOnset |
P9036
|
FINISHED |
| Object | early childhood |
—
|
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 childhood | Statement: [Asperger syndrome, hasOnset, early childhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnset Context triple: [Asperger syndrome, hasOnset, early childhood]
-
A.
endsOn
Indicates that one entity terminates or concludes precisely at the boundary or endpoint of another entity.
-
B.
occurredDuring
Indicates that one event or action took place within the temporal span of another event or time period.
-
C.
triggered
Indicates that one entity causes an event, action, or process involving another entity to start or occur.
-
D.
occupationBegan
Indicates the point in time when an entity started holding a particular occupation or job.
-
E.
isOn
Indicates that one entity is physically positioned above and in contact with the top surface of another entity.
- F. None of above. chosen
Provenance (4 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25def95c48190bb8ab2259f67b583 |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b765f488190b2cbe4b45cd42821 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c4b773c81908f1017f40b0bfd07 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.