Triple
T25930728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minquiers and Ecrehos case |
E653430
|
entity |
| Predicate | outcomeForFrance |
P76199
|
FINISHED |
| Object | France’s claim to sovereignty over the Ecrehos rejected |
—
|
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: France’s claim to sovereignty over the Ecrehos rejected | Statement: [Minquiers and Ecrehos case, outcomeForFrance, France’s claim to sovereignty over the Ecrehos rejected]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outcomeForFrance Context triple: [Minquiers and Ecrehos case, outcomeForFrance, France’s claim to sovereignty over the Ecrehos rejected]
-
A.
resultForFrance
chosen
Indicates the outcome or result of an event, action, or process specifically as it pertains to France.
-
B.
FrenchOutcome
Indicates that an event, action, or process results in an outcome that is specifically French in nature, context, or origin.
-
C.
sideOutcomeForFrenchUnion
Indicates a secondary or indirect result that occurs specifically in relation to the French Union.
-
D.
outcomeForFrenchForces
Indicates the result or consequence experienced by the French forces in a given event or engagement.
-
E.
effectOnFrance
Indicates the impact, influence, or consequences that something has on France.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60c698ae48190871cd445422bad91 |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 22, 2026, 8:36 a.m.