Triple
T14732602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iserlohn |
E346114
|
entity |
| Predicate | hasCityDistrict |
P2709
|
FINISHED |
| Object | Oestrich |
E823982
|
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: Oestrich | Statement: [Iserlohn, hasCityDistrict, Oestrich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oestrich Context triple: [Iserlohn, hasCityDistrict, Oestrich]
-
A.
Oestrich-Winkel
chosen
Oestrich-Winkel is a historic wine-growing town in Germany’s Rheingau region, renowned for its Riesling vineyards along the Rhine River.
-
B.
Badenweiler
Badenweiler is a spa town in southwestern Germany’s Black Forest region, known for its thermal baths and as the place where Russian writer Anton Chekhov died.
-
C.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
D.
Sporkenheim
Sporkenheim is a district or locality within the town of Ingelheim am Rhein in Rhineland-Palatinate, Germany.
-
E.
Odelzhausen
Odelzhausen is a municipality in Bavaria, Germany, known for its historic castle and location along the Autobahn between Munich and Augsburg.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec72ea9348190817efcdaa973d7f7 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dba87c481908084c3cba5df3fcd |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:29 a.m.