Triple
T8657964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyffhäuserkreis |
E205469
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ebeleben |
E708765
|
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: Ebeleben | Statement: [Kyffhäuserkreis, contains, Ebeleben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ebeleben Context triple: [Kyffhäuserkreis, contains, Ebeleben]
-
A.
Ebeleben
chosen
Ebeleben is a small town in central Germany, located in the state of Thuringia.
-
B.
Ebenau
Ebenau is a small Austrian municipality in the state of Salzburg, known for its scenic alpine surroundings and traditional rural character.
-
C.
Enniberg
Enniberg is a towering sea cliff on the northern tip of Viðoy in the Faroe Islands, known as one of the highest promontories of its kind in Europe.
-
D.
Ebrach
Ebrach is a river in Bavaria, Germany, known as a tributary of the Regnitz.
-
E.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc486d576081908ad28749c7971432 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccec941881908263cd3205f10ccd |
completed | April 2, 2026, 8:09 p.m. |
Created at: March 30, 2026, 6:30 p.m.