Triple
T20406211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iranian parliamentary elections |
E500473
|
entity |
| Predicate | occurEvery |
P7174
|
FINISHED |
| Object | 4 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: 4 years | Statement: [Iranian parliamentary elections, occurEvery, 4 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occurEvery Context triple: [Iranian parliamentary elections, occurEvery, 4 years]
-
A.
occursEvery
chosen
Indicates that an event or action happens repeatedly at regular, specified intervals.
-
B.
occursFor
Indicates that an event, process, or condition takes place in relation to, or on behalf of, a particular entity or context.
-
C.
recurringDuring
Indicates that an event or state happens repeatedly within the time span or context defined by another event or interval.
-
D.
occursWhen
Indicates that one event or condition happens at the same time or is triggered under the circumstances defined by another event or condition.
-
E.
repetitionOf
Indicates that one entity is a repeated occurrence or instance of another entity, preserving the same content or pattern.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67992cfb88190ae49a1723e6667a1 |
completed | April 20, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:29 a.m.