Triple
T28057904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Silico |
E709018
|
entity |
| Predicate | followsForDuration |
P180858
|
FINISHED |
| Object | 10 years |
—
|
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: 10 years | Statement: [In Silico, followsForDuration, 10 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsForDuration Context triple: [In Silico, followsForDuration, 10 years]
-
A.
followsTimeSpan
Indicates that one time span occurs immediately or subsequently after another specified time span.
-
B.
followsTime
Indicates that one event, state, or time period occurs after and in temporal succession to another.
-
C.
followsAfterNumberOfDays
Indicates that one event or state occurs after another by a specified number of days.
-
D.
followsBetween
Indicates that one entity comes after or succeeds another entity within a specified context or sequence.
-
E.
followsIn
Indicates that one entity comes after or succeeds another in a sequence, order, or progression.
- 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_69ef9b6eb6d88190a3fea236eb0f7bed |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
| PDg | Predicate description generation | batch_69f75788d40c819083bf2567b3091585 |
completed | May 3, 2026, 2:11 p.m. |
Created at: April 27, 2026, 8:37 p.m.