Triple
T2938274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sieber |
E79321
|
entity |
| Predicate | tributaryOf |
P415
|
FINISHED |
| Object | Oder (Harz) |
E314426
|
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: Oder (Harz) | Statement: [Sieber, tributaryOf, Oder (Harz)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oder (Harz) Context triple: [Sieber, tributaryOf, Oder (Harz)]
-
A.
Oderberg
Oderberg is a small historic town in northeastern Germany near the Oder River, known for its scenic natural surroundings and proximity to the Polish border.
-
B.
Britz-Chorin-Oderberg
Britz-Chorin-Oderberg is a municipality in the Barnim district of Brandenburg, Germany, known for its rural landscape and proximity to the Oder River and Polish border.
-
C.
Dahme
The Dahme is a river in eastern Germany that flows through Brandenburg and Berlin before joining the Spree.
-
D.
Oder (Harz) basin
chosen
The Oder (Harz) basin is a river basin in the Harz Mountains of central Germany that drains the surrounding upland area through the Oder and its tributaries.
-
E.
Unstrut River
The Unstrut River is a tributary of the Saale in central Germany, flowing through Thuringia and Saxony-Anhalt and known for its scenic valleys, vineyards, and historic towns.
- 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad986c1c0c8190a6a9f17082438cfd |
completed | March 8, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e181898819087ed4acfd24c00a1 |
completed | March 11, 2026, 8:55 a.m. |
Created at: March 8, 2026, 2:56 p.m.