Triple
T12836605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eemsmond |
E306931
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Ems (Eems) river |
E258474
|
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: Ems (Eems) river | Statement: [Eemsmond, namedAfter, Ems (Eems) river]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ems (Eems) river Context triple: [Eemsmond, namedAfter, Ems (Eems) river]
-
A.
Erft River
The Erft River is a tributary of the Rhine in western Germany, flowing through North Rhine-Westphalia and known for passing historic towns and former mining areas before joining the Rhine near Neuss.
-
B.
river Eem
The river Eem is a short Dutch river in the province of Utrecht that flows through towns such as Amersfoort and Baarn before emptying into the Eemmeer.
-
C.
Eems
chosen
Eems is the Dutch name for the Ems River, a major waterway in northwestern Europe that flows through Germany and the Netherlands into the North Sea.
-
D.
Emst
Emst is a small village in the Dutch province of Gelderland, known as part of the municipality of Epe in the Veluwe region.
-
E.
Ems
Ems is a historic spa town in present-day Germany, renowned for its mineral springs and 19th-century status as a fashionable European resort.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff015f4819090070a01f3938acc |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75467a1a081908395b48615e3ea9b |
completed | May 3, 2026, 1:57 p.m. |
Created at: April 9, 2026, 5:35 p.m.