Triple
T2053521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Criminal Tribunal for Rwanda |
E45621
|
entity |
| Predicate | numberOfCompletedCasesApproximate |
P1437
|
FINISHED |
| Object | 70+ |
—
|
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: 70+ | Statement: [International Criminal Tribunal for Rwanda, numberOfCompletedCasesApproximate, 70+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCompletedCasesApproximate Context triple: [International Criminal Tribunal for Rwanda, numberOfCompletedCasesApproximate, 70+]
-
A.
numberOfCases
Indicates the total count of individual instances, occurrences, or records associated with a particular situation, condition, or category.
-
B.
hasNumberOfCasesApprox
chosen
Indicates that an entity is associated with an approximate (not exact) count of cases.
-
C.
completionRate
Indicates the proportion of a task, process, or set of items that has been finished relative to its total intended amount.
-
D.
numberOfRulesCompleted
Indicates the count of rules that have been successfully completed or satisfied in a given context.
-
E.
completedIn
Indicates that an action, process, or task was fully finished within a specified time period or duration.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb99196ec819096f491ac7732156a |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7abba508190b872f345d3ba51bb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.