Triple
T17799780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dagstuhl Castle |
E444390
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Dagstuhl district |
—
|
NE NERFINISHED |
How this triple was built (3 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: Dagstuhl district | Statement: [Dagstuhl Castle, locatedIn, Dagstuhl district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dagstuhl district Context triple: [Dagstuhl Castle, locatedIn, Dagstuhl district]
-
A.
Stollberg district
Stollberg district was a former administrative district in the Free State of Saxony, Germany, located in the Ore Mountains region before being incorporated into the Erzgebirgskreis.
-
B.
Miltenberg district
Miltenberg district is a rural administrative district (Landkreis) in Lower Franconia, Bavaria, Germany, known for its scenic Main River landscapes, historic towns, and wine-growing traditions.
-
C.
Höfe District
Höfe District is an administrative district in the canton of Schwyz in central Switzerland, situated along the upper Lake Zurich and known for its affluent lakeside communities.
-
D.
Neustadt district
Neustadt district is a vibrant urban quarter of Dresden, Germany, known for its historic architecture, lively cultural scene, and diverse nightlife.
-
E.
Lilienthal District
Lilienthal District is an administrative area located within the Mostviertel region of Lower Austria, known for its rural landscapes and agricultural character.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dagstuhl district Target entity description: Dagstuhl district is an area in the town of Wadern in Saarland, Germany, known for encompassing the historic Dagstuhl Castle and its surrounding locality.
-
A.
Stollberg district
Stollberg district was a former administrative district in the Free State of Saxony, Germany, located in the Ore Mountains region before being incorporated into the Erzgebirgskreis.
-
B.
Miltenberg district
Miltenberg district is a rural administrative district (Landkreis) in Lower Franconia, Bavaria, Germany, known for its scenic Main River landscapes, historic towns, and wine-growing traditions.
-
C.
Höfe District
Höfe District is an administrative district in the canton of Schwyz in central Switzerland, situated along the upper Lake Zurich and known for its affluent lakeside communities.
-
D.
Neustadt district
Neustadt district is a vibrant urban quarter of Dresden, Germany, known for its historic architecture, lively cultural scene, and diverse nightlife.
-
E.
Lilienthal District
Lilienthal District is an administrative area located within the Mostviertel region of Lower Austria, known for its rural landscapes and agricultural character.
- F. None of above. chosen
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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fe19dc8190b7e9dc96f39e0861 |
completed | April 19, 2026, 7:45 a.m. |
Created at: April 10, 2026, 10:13 a.m.