Triple
T15114288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordhausen |
E360994
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Chelm |
E398525
|
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: Chelm | Statement: [Nordhausen, hasTwinTown, Chelm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chelm Context triple: [Nordhausen, hasTwinTown, Chelm]
-
A.
Chełm
chosen
Chełm is a city in eastern Poland known for its historical significance, including its role in World War II-era political developments and its distinctive chalk tunnels and religious heritage.
-
B.
Kraśnik
Kraśnik is a town in eastern Poland known for its historical architecture and location within the Lublin region.
-
C.
Czerniaków
Czerniaków is a Polish surname most notably borne by Adam Czerniaków, the head of the Warsaw Ghetto Jewish Council during World War II.
-
D.
Czerniaków
Czerniaków is a historic neighborhood in Warsaw, Poland, situated along the Vistula River and known for its prewar architecture and role in the city’s wartime history.
-
E.
Czorsztyn
Czorsztyn is a small village in southern Poland known for its picturesque lakeside setting on the Dunajec River and the ruins of a medieval castle overlooking the Pieniny Mountains.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058f4fb88190a3d446a466aebcf1 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a61136081908198806944c81808 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:05 a.m.