Triple
T8374653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saar |
E197544
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Saar (German) |
E729649
|
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 (German) | Statement: [Saar, hasNameInLanguage, Saar (German)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saar (German) Context triple: [Saar, hasNameInLanguage, Saar (German)]
-
A.
Sarre (French)
chosen
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.
Iller (German)
Iller (German) is the German name for the Iller River, a tributary of the Danube in southern Germany.
-
C.
Schwäbische Rezat
The Schwäbische Rezat is a river in the German state of Bavaria that flows through the Franconian region, including the town of Weißenburg in Bayern.
-
D.
White Saar
White Saar is a distinct section or branch of the Saar river system, likely named for its clearer or lighter-colored waters compared to other Saar tributaries.
-
E.
Saarland
Saarland is a small federal state in southwestern Germany known for its industrial history, Franco-German cultural influences, and location along the borders with France and Luxembourg.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80a996ec819083ce2607c0cdab7f |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce02b4d840819090a0eaadaff9c9f9 |
completed | April 2, 2026, 5:46 a.m. |
Created at: March 30, 2026, 6:01 p.m.