Triple
T33265634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France v. Turkey (Lotus case) |
E851637
|
entity |
| Predicate | originatingIncident |
—
|
GENERATED |
| Object | collision between French ship S.S. Lotus and Turkish ship S.S. Boz-Kourt |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originatingIncident Context triple: [France v. Turkey (Lotus case), originatingIncident, collision between French ship S.S. Lotus and Turkish ship S.S. Boz-Kourt]
-
A.
incidentWith
Indicates that one entity is involved in, affected by, or associated with a particular incident or event together with another entity.
-
B.
centralIncident
Indicates that an incident is the primary or focal event around which related events, actions, or circumstances are organized.
-
C.
incidentName
Indicates the specific name or label assigned to an incident within a system or context.
-
D.
openingIncident
chosen
Indicates that an incident or event initiates or begins another situation, process, or narrative sequence.
-
E.
stateOfIncident
Indicates the specific condition or status that an incident is currently in within its lifecycle.
- F. None of above.
Provenance (1 batch)
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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:32 a.m.