Triple
T9813681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saar River |
E238341
|
entity |
| Predicate | nameInFrench |
P6538
|
FINISHED |
| Object | Sarre |
E197544
|
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: Sarre | Statement: [Saar River, nameInFrench, Sarre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarre Context triple: [Saar River, nameInFrench, Sarre]
-
A.
Saar
Saar was a short-lived postwar German protectorate that competed independently in international events, including the Olympics, before rejoining West Germany.
-
B.
Saar
chosen
The Saar is a river in western Europe that flows through northeastern France and western Germany, giving its name to the German state of Saarland.
-
C.
Saar River
The Saar River is a major river in northeastern France and western Germany that flows through the industrial region of Saarland before joining the Moselle.
-
D.
Sauldre
Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
-
E.
Moselle
Moselle is a department in northeastern France, bordering Germany and Luxembourg, known for its strategic location, industrial history, and mixed French-German cultural heritage.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb22410208190b82b81a4df800f80 |
completed | April 2, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e41725948190a40ddcf9552e9bf1 |
completed | April 5, 2026, 4:24 a.m. |
Created at: March 30, 2026, 8:30 p.m.