Triple
T15667214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCS Proceedings |
E377215
|
entity |
| Predicate | typicalPublicationFrequency |
P1389
|
FINISHED |
| Object | annual |
—
|
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: annual | Statement: [CCS Proceedings, typicalPublicationFrequency, annual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPublicationFrequency Context triple: [CCS Proceedings, typicalPublicationFrequency, annual]
-
A.
publicationFrequency
chosen
Indicates how often a publication or content is issued, released, or made available over a given period.
-
B.
typicalPublicationDay
Indicates the day of the week on which something is usually or most commonly published.
-
C.
typicalPeriod
Indicates the usual or characteristic time interval or duration associated with an event, process, or state.
-
D.
publicationPeriod
Indicates the span of time during which something is published, active in publication, or valid as a published work.
-
E.
typicalIntervalBetweenEditions
Indicates the usual amount of time that typically elapses between successive editions of the same work.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f1151548190a14607e762686cb1 |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:16 a.m.