Triple
T18459711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rheinbach |
E450998
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Oberdrees |
—
|
NE NERFINISHED |
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: Oberdrees | Statement: [Rheinbach, hasSubdivision, Oberdrees]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberdrees Context triple: [Rheinbach, hasSubdivision, Oberdrees]
-
A.
Oberdrees
chosen
Oberdrees is a village-level district of the town of Rheinbach in the Rhein-Sieg-Kreis of North Rhine-Westphalia, Germany.
-
B.
Reißeck
Reißeck is a municipality in the Austrian state of Carinthia, known for its Alpine landscape and proximity to the Reißeck mountain range and hydroelectric facilities.
-
C.
Weisselberg
Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
-
D.
Degerloch
Degerloch is a district of Stuttgart in the German state of Baden-Württemberg, known for its elevated location and residential character.
-
E.
Oßling
Oßling is a small municipality in the German state of Saxony, located in the eastern part of the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7cdb5c8190a399f0e4052f7d1f |
completed | April 19, 2026, 7:18 p.m. |
Created at: April 10, 2026, 11:33 a.m.