Triple
T8374654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saar |
E197544
|
entity |
| Predicate | flowsInto |
P408
|
FINISHED |
| Object | Moselle at Konz |
E729646
|
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: Moselle at Konz | Statement: [Saar, flowsInto, Moselle at Konz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moselle at Konz Context triple: [Saar, flowsInto, Moselle at Konz]
-
A.
Moselle at Konz
chosen
Moselle at Konz is the section of the Moselle River near the town of Konz in western Germany where it meets and merges with the Saar River.
-
B.
Mußbach
Mußbach is a district of the wine-producing city Neustadt an der Weinstraße in Rhineland-Palatinate, Germany, known for its viticulture and scenic location along the German Wine Route.
-
C.
Mosel, Germany
Mosel, Germany is an industrial locality known for its major automotive manufacturing facilities, including a Volkswagen plant that produces models like the Passat.
-
D.
Mondorf-les-Bains
Mondorf-les-Bains is a spa town in southeastern Luxembourg renowned for its thermal baths, wellness facilities, and casino.
-
E.
Rolandseck
Rolandseck is a district of Remagen in Rhineland-Palatinate, Germany, known for its scenic location on the Rhine and its historic railway station and cultural venues.
- 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.