Triple
T15545530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Another Place |
E370598
|
entity |
| Predicate | exhibitedBeforeCrosby |
P119122
|
FINISHED |
| Object | Cuxhaven, Germany |
E238867
|
NE FINISHED |
How this triple was built (3 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: Cuxhaven, Germany | Statement: [Another Place, exhibitedBeforeCrosby, Cuxhaven, Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cuxhaven, Germany Context triple: [Another Place, exhibitedBeforeCrosby, Cuxhaven, Germany]
-
A.
Cuxhaven
chosen
Cuxhaven is a German port city on the North Sea coast that historically served as an important naval and maritime hub.
-
B.
Hamburg-Finkenwerder, Germany
Hamburg-Finkenwerder, Germany is an industrial district of Hamburg best known for its large Airbus manufacturing and assembly facilities.
-
C.
Lüneburg, Germany
Lüneburg, Germany is a historic Hanseatic town in Lower Saxony known for its medieval architecture, former salt trade wealth, and well-preserved old town.
-
D.
Oldenburg, Germany
Oldenburg, Germany is a historic city in northwestern Germany known for its former status as a grand duchy’s capital and its well-preserved old town.
-
E.
Port of Cuxhaven
The Port of Cuxhaven is a German seaport on the North Sea known as an important hub for offshore wind energy, RoRo traffic, and maritime logistics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhibitedBeforeCrosby Context triple: [Another Place, exhibitedBeforeCrosby, Cuxhaven, Germany]
-
A.
exhibitedAs
Indicates that something is presented or displayed in a particular context, such as in a show, gallery, or exhibition.
-
B.
hasExhibitedAt
Indicates that an entity has displayed or presented its work at a particular event, venue, or exhibition.
-
C.
exhibitedWith
Indicates that two or more entities were presented or displayed together as part of the same exhibition or show.
-
D.
firstExhibited
Indicates the event or context in which something was publicly displayed or presented for the first time.
-
E.
exhibitedBy
Indicates that something (such as a quality, behavior, or characteristic) is shown, displayed, or demonstrated by a particular entity.
- F. None of above. chosen
Provenance (5 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0443410408190a249889edcd9c599 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff455a38188190a593c70be09d6103 |
completed | May 9, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:07 a.m.