Triple
T14437772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoppot |
E358008
|
entity |
| Predicate | hasNameInGerman |
P22792
|
FINISHED |
| Object | Zoppot |
E358008
|
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: Zoppot | Statement: [Zoppot, hasNameInGerman, Zoppot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoppot Context triple: [Zoppot, hasNameInGerman, Zoppot]
-
A.
Zoppot
chosen
Zoppot is the German name for the Baltic Sea resort city of Sopot, now located in northern Poland between Gdańsk and Gdynia.
-
B.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
-
C.
Buchach
Buchach is a historic town in western Ukraine, known for its multicultural past and as the birthplace of several notable Jewish intellectuals and writers.
-
D.
Kurzberg
Kurzberg is a surname of German origin, likely derived from geographic or topographic roots.
-
E.
Varnsdorf
Varnsdorf is a town in the northern Czech Republic near the German border, known historically for its textile industry and multicultural character.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914a45ec81909ab8ccf302047d7f |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd7f46881908df1a1cea7b6af9b |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.