Triple
T7601793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kulm |
E180000
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object | Kulm |
E180000
|
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: Kulm | Statement: [Kulm, hasGermanName, Kulm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kulm Context triple: [Kulm, hasGermanName, Kulm]
-
A.
Kulm
chosen
Kulm, now known as Chełmno in Poland, is a historic town on the Vistula River notable for its medieval architecture and role in the history of Royal Prussia.
-
B.
Krempna
Krempna is a small village in southeastern Poland that serves as a gateway and service center for visitors to Magura National Park in the Low Beskid Mountains.
-
C.
Kremmen
Kremmen is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
-
D.
Koshice
Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
-
E.
Taborio
Taborio is a village settlement located on the island of Nonouti in the Republic of Kiribati.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9f8e7848190b44d9c16b9c95d37 |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86846192c81909154e6cf60b21157 |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:54 p.m.