Triple
T12002707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D21 road |
E285704
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Dranse river |
E981057
|
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: Dranse river | Statement: [D21 road, crosses, Dranse river]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dranse river Context triple: [D21 road, crosses, Dranse river]
-
A.
Dranse river
The Dranse river is a mountain river in the Swiss canton of Valais that drains parts of the Alps and flows into the Rhône.
-
B.
Dranse River
chosen
The Dranse River is a watercourse in the Haute-Savoie region of eastern France that flows through the Chablais Alps to empty into Lake Geneva near Thonon-les-Bains.
-
C.
Schussen River
The Schussen River is a waterway in southern Germany that flows through the Upper Swabia region before emptying into Lake Constance.
-
D.
Vechte River
The Vechte River is a waterway in northwestern Germany and the eastern Netherlands that flows through Lower Saxony and Overijssel before joining the Zwarte Water near Zwolle.
-
E.
Durolle River
The Durolle River is a waterway in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c36b248190b446b17def94885b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01792dc0b08190a0871959ce752313 |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 8, 2026, 9:46 p.m.