Triple
T36011535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITU-R Study Groups |
E1041723
|
entity |
| Predicate | timeStructuredBy |
P25625
|
FINISHED |
| Object | four-year study cycle |
—
|
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: four-year study cycle | Statement: [ITU-R Study Groups, timeStructuredBy, four-year study cycle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeStructuredBy Context triple: [ITU-R Study Groups, timeStructuredBy, four-year study cycle]
-
A.
timeStructure
chosen
Indicates that one entity defines, constrains, or organizes the temporal framework or schedule within which another entity exists or operates.
-
B.
timeType
Indicates the specific temporal category or classification associated with a time-related entity or value (e.g., duration, point in time, interval, or recurrence type).
-
C.
timeIndexed
Indicates that the relationship or property it connects is associated with, or valid during, a specific time or time interval.
-
D.
timePeriodFormulated
Indicates the time period during which something (such as a concept, theory, or plan) was formulated or developed.
-
E.
timeNamed
Indicates that a specific time or temporal interval is referred to or identified by a particular name or label.
- 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_69f76e2b981881908e4e160607fa82eb |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:07 p.m.