Triple
T17217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NATO |
E341
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | France |
E861
|
NE 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 | Statement: [NATO, hasMember, France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: France Context triple: [NATO, hasMember, France]
-
A.
France
chosen
France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
-
B.
Belgium
Belgium is a Western European country known for its role as a founding member of major international organizations, including NATO and the European Union, and for hosting many of their key institutions.
-
C.
Vichy
Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
-
D.
Switzerland
Switzerland is a landlocked Central European country known for its long-standing neutrality, mountainous landscapes, financial centers, and multilingual, federal political system.
-
E.
Finland
Finland is a Nordic country in Northern Europe known for its extensive forests and lakes, high standard of living, strong welfare state, and history that includes fighting in World War II and maintaining a policy of military non-alignment during the Cold War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a24003aca48190b98c2df43d65e496 |
completed | Feb. 28, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a29817d9d08190aea256b0fbbb2d9b |
completed | Feb. 28, 2026, 7:24 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.