Triple
T10234498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saar |
E243426
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object | Saar franc |
E745432
|
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: Saar franc | Statement: [Saar, currency, Saar franc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saar franc Context triple: [Saar, currency, Saar franc]
-
A.
Sarre (French)
Sarre is the French name for the Saar region of western Germany, historically known for its coal industry and strategic location along the French-German border.
-
B.
Fransat
Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
-
C.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
D.
Fran
Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
-
E.
Franc
chosen
The franc is a former primary currency used in several European and African countries, most notably France and Switzerland, before largely being replaced by the euro in the Eurozone.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d20cd8708190ba42752597d62008 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f74c66048190a0ba1cba593cccb5 |
completed | April 9, 2026, 12:48 a.m. |
Created at: April 6, 2026, 11:21 a.m.