Triple
T23124859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main-Kinzig-Kreis |
E576998
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Steinau an der Straße |
E809185
|
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: Steinau an der Straße | Statement: [Main-Kinzig-Kreis, contains, Steinau an der Straße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steinau an der Straße Context triple: [Main-Kinzig-Kreis, contains, Steinau an der Straße]
-
A.
Steinau an der Straße
chosen
Steinau an der Straße is a historic small town in Hesse, Germany, best known for its association with the Brothers Grimm and its well-preserved medieval architecture.
-
B.
Steinheim
Steinheim is a locality within the Bavarian town of Dillingen an der Donau in southern Germany.
-
C.
Steinbühl
Steinbühl is a district of the German city of Nuremberg, known as an urban residential area served by the Nürnberg-Steinbühl railway station.
-
D.
Friedrichstein
Friedrichstein is a district or neighborhood within the spa town of Bad Wildungen in the state of Hesse, Germany.
-
E.
Günterstal
Günterstal is a district of Freiburg im Breisgau in southwestern Germany, known for its scenic valley setting in the Black Forest and historic monastery.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e53ac288190b27fe8064fb576c2 |
completed | April 29, 2026, 4:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23f25dec8190984bc2dafd008a48 |
completed | May 19, 2026, 8:48 a.m. |
Created at: April 17, 2026, 3:59 p.m.