Triple
T15446532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serbja |
E370037
|
entity |
| Predicate | hasNameInGerman |
P22792
|
FINISHED |
| Object | Sorben |
E74673
|
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: Sorben | Statement: [Serbja, hasNameInGerman, Sorben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorben Context triple: [Serbja, hasNameInGerman, Sorben]
-
A.
Sörli
Sörli is a legendary hero in Norse mythology, known primarily as one of the avenging sons of Gudrun who participates in the slaying of King Jörmunrek in the heroic lays of the Poetic Edda.
-
B.
Suhre
The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
-
C.
Sorbs
chosen
The Sorbs are a Slavic ethnic minority primarily living in eastern Germany, known for preserving their distinct Sorbian language and cultural traditions.
-
D.
Hagenborgh
Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
-
E.
Söl'ring
Söl'ring is a variety of the North Frisian language traditionally spoken on the German island of Sylt.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef767b4819099f2c0919a158321 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21adb6b88190b573068bda223892 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.