Triple
T31642454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chambers of the International Criminal Tribunal for Rwanda |
E807491
|
entity |
| Predicate | appliesToEventsIn |
P52065
|
FINISHED |
| Object | Rwanda |
—
|
NE NERFINISHED |
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: Rwanda | Statement: [Chambers of the International Criminal Tribunal for Rwanda, appliesToEventsIn, Rwanda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToEventsIn Context triple: [Chambers of the International Criminal Tribunal for Rwanda, appliesToEventsIn, Rwanda]
-
A.
appliedInEvent
Indicates that an action, method, or concept is utilized or carried out within the context of a specific event.
-
B.
includesEvents
Indicates that one entity contains or encompasses one or more events as part of its scope or composition.
-
C.
appliesTo
Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
-
D.
coversEventsAfter
Indicates that one event or time interval extends to include all events occurring after a specified reference event or time.
-
E.
concernsEventsIn
chosen
Indicates a relationship where something (such as a statement, document, or discussion) is about, relates to, or addresses specific events occurring in a particular context or scope.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe6739d4dc8190ae7505c089bbac29 |
completed | May 8, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69fe6541dffc81909c66a61ba69f38fc |
completed | May 8, 2026, 10:35 p.m. |
Created at: April 30, 2026, 10:50 p.m.