Triple
T9605313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eiderstedt |
E231954
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | St. Peter-Ording |
E557368
|
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: St. Peter-Ording | Statement: [Eiderstedt, contains, St. Peter-Ording]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Peter-Ording Context triple: [Eiderstedt, contains, St. Peter-Ording]
-
A.
St. Peter-Ording
chosen
St. Peter-Ording is a popular seaside resort town on Germany’s North Sea coast, known for its expansive sandy beaches, stilt houses, and spa tourism.
-
B.
Husum
Husum is a small coastal town in northern Germany known for its North Sea harbor, maritime heritage, and role as a local cultural and commercial center.
-
C.
Othmarschen
Othmarschen is a residential district in the west of Hamburg, Germany, known for its affluent neighborhoods, green spaces, and location along the Elbe River.
-
D.
Heringsdorf
Heringsdorf is a seaside resort town on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its historic pier and spa architecture.
-
E.
Schöppingen
Schöppingen is a small municipality in North Rhine-Westphalia, Germany, known for its rural character and location near the Dutch border.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a5e4a7c8190830b5ad9762ece46 |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d17939ed4c8190addfb052b762d454 |
completed | April 4, 2026, 8:48 p.m. |
Created at: March 30, 2026, 8:08 p.m.