Triple
T12813969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fehmarn Belt |
E306342
|
entity |
| Predicate | hasNearbyPort |
P942
|
FINISHED |
| Object | Puttgarden |
E783020
|
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: Puttgarden | Statement: [Fehmarn Belt, hasNearbyPort, Puttgarden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puttgarden Context triple: [Fehmarn Belt, hasNearbyPort, Puttgarden]
-
A.
Puttgarden
chosen
Puttgarden is a small ferry port on the German island of Fehmarn that serves as a major maritime link between Germany and Denmark across the Fehmarn Belt.
-
B.
Oldenburg
Oldenburg is a historic university city in northwestern Germany known for its cultural heritage and role as a regional economic center.
-
C.
Oldenburg
Oldenburg is a historic European noble house that ruled various territories in Denmark, Norway, and northern Germany and provided numerous monarchs to several European thrones.
-
D.
Olsberg
Olsberg is a small town in the Hochsauerland region of North Rhine-Westphalia, Germany, known for its scenic location in the Sauerland hills and outdoor recreation opportunities.
-
E.
Borghorst
Borghorst is a district of the German town Steinfurt in North Rhine-Westphalia, known historically for its textile industry and regional cultural heritage.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9adcf08190a12801adcc613477 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ecc83b88190a6f1ab0bb1ebaf76 |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:31 p.m.