Triple
T12244764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danzig harbor |
E291822
|
entity |
| Predicate | historicName |
P20952
|
FINISHED |
| Object | Danziger Hafen |
E291822
|
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: Danziger Hafen | Statement: [Danzig harbor, historicName, Danziger Hafen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danziger Hafen Context triple: [Danzig harbor, historicName, Danziger Hafen]
-
A.
Danzig harbor
chosen
Danzig harbor was the port area of the Free City of Danzig (now Gdańsk, Poland) that played a pivotal role at the outbreak of World War II, notably as the site of the German attack on Westerplatte.
-
B.
Marienwerder
Marienwerder is a historic town in former West Prussia, now known as Kwidzyn in Poland, noted for its medieval architecture and Teutonic Order castle.
-
C.
Westhafen
Westhafen is a major inland port and freight hub in Berlin, serving as one of the city’s key logistics and transportation centers.
-
D.
Gstadt harbor
Gstadt harbor is a lakeside port and departure point on the shores of Lake Chiemsee in Bavaria, Germany, serving as a gateway to the lake’s islands and surrounding attractions.
-
E.
Kolberg
Kolberg is a historic Baltic Sea port city in present-day Kołobrzeg, Poland, known for its strategic military importance and spa tourism.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb724448190be29fc1d2b946ab7 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5ff68c81909d2796b24dd055f4 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:51 p.m.