Triple
T9914585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chernyakhovsk |
E185834
|
entity |
| Predicate | renamedFrom |
P65
|
FINISHED |
| Object | Insterburg |
E256815
|
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: Insterburg | Statement: [Chernyakhovsk, renamedFrom, Insterburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Insterburg Context triple: [Chernyakhovsk, renamedFrom, Insterburg]
-
A.
Insterburg
chosen
Insterburg was a historically significant town in former East Prussia, now known as Chernyakhovsk in Russia’s Kaliningrad Oblast.
-
B.
Olsberg
Olsberg is a small town in the Hochsauerland region of North Rhine-Westphalia, Germany, known for its scenic location in the Sauerland hills and outdoor recreation opportunities.
-
C.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
D.
Karsdorf
Karsdorf is a small municipality in the German state of Saxony-Anhalt, known for its location along the Unstrut River and its surrounding wine-growing and agricultural landscape.
-
E.
Hagen
Hagen is a city in the Ruhr region of North Rhine-Westphalia in western Germany, known historically as an industrial and transport hub.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53ba1ac8190ba655133b81596d7 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d269d24ac4819081683e6ac5db7015 |
completed | April 5, 2026, 1:55 p.m. |
Created at: March 30, 2026, 8:41 p.m.