Triple
T21358208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seewiesen |
E526692
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Seewiesen (German) |
—
|
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: Seewiesen (German) | Statement: [Seewiesen, hasNameInLanguage, Seewiesen (German)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seewiesen (German) Context triple: [Seewiesen, hasNameInLanguage, Seewiesen (German)]
-
A.
Seewiesen
chosen
Seewiesen is a research locality in Bavaria, Germany, best known for its ornithological and behavioral science institutes associated with Konrad Lorenz and other pioneering ethologists.
-
B.
Seewinkel
Seewinkel is a low-lying, lake-dotted region in eastern Austria known for its steppe-like landscape, birdlife, and wine production near Lake Neusiedl.
-
C.
Siggerwiesen
Siggerwiesen is a locality within the municipality of Hallwang in the Austrian state of Salzburg.
-
D.
Neusäß
Neusäß is a town in Bavaria, Germany, located just northwest of the city of Augsburg and functioning largely as a residential and commuter suburb.
-
E.
Maroldsweisach
Maroldsweisach is a municipality in the Haßberge district of northern Bavaria, Germany, known for its rural setting and historic Franconian character.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa3924c8190b3decbfda4a2aecf |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:07 p.m.