Triple
T14692564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libya situation at the ICC |
E345069
|
entity |
| Predicate | reportingObligationFrequency |
P16914
|
FINISHED |
| Object | every six months |
—
|
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: every six months | Statement: [Libya situation at the ICC, reportingObligationFrequency, every six months]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reportingObligationFrequency Context triple: [Libya situation at the ICC, reportingObligationFrequency, every six months]
-
A.
inspectionFrequency
Indicates how often an entity is examined, checked, or reviewed within a given time period.
-
B.
measurementFrequency
Indicates how often a measurement is taken or recorded over time.
-
C.
budgetApprovalFrequency
Indicates how often a budget is reviewed and formally approved within a given period.
-
D.
performedFrequency
chosen
Indicates how often an action or activity is carried out within a given time period.
-
E.
serviceFrequencyType
Indicates how often a service occurs or is scheduled within a given time period.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb585d46c81908d6964130914cec4 |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.