Triple
T13019659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TTimer |
E322640
|
entity |
| Predicate | defaultIntervalUnit |
P15625
|
FINISHED |
| Object | milliseconds |
—
|
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: milliseconds | Statement: [TTimer, defaultIntervalUnit, milliseconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultIntervalUnit Context triple: [TTimer, defaultIntervalUnit, milliseconds]
-
A.
originalTimeInterval
Indicates the initial or primary time span during which an event, state, or relationship is considered to occur, before any adjustments or derived intervals.
-
B.
timeIntervalLength
Indicates the duration or length of a specified time interval.
-
C.
timeUnitOfFrequency
chosen
Indicates the unit of time (e.g., day, week, month) in which a given frequency is measured or expressed.
-
D.
dosingInterval
Indicates the time period that should elapse between consecutive doses of a medication or treatment.
-
E.
apportionmentInterval
Indicates the time span or interval over which something (such as a quantity, cost, or resource) is allocated or distributed.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecf21bc819082fb512bc479b4be |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:51 p.m.