Triple
T21514170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mierzeja Wiślana |
E530800
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Kaliningrad |
—
|
NE NERFINISHED |
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: Kaliningrad | Statement: [Mierzeja Wiślana, nearCity, Kaliningrad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaliningrad Context triple: [Mierzeja Wiślana, nearCity, Kaliningrad]
-
A.
Ulenburg
Ulenburg is a district or locality within the town of Löhne in North Rhine-Westphalia, Germany.
-
B.
Königsberg
chosen
Königsberg was a historic Prussian city on the Baltic Sea, renowned as a major cultural and intellectual center of East Prussia and later known as Kaliningrad.
-
C.
Königsberg
Königsberg is a district or locality that forms part of the town of Braunfels in the German state of Hesse.
-
D.
Tuapse
Tuapse is a Black Sea port town in southern Russia known as a seaside resort and industrial center within Krasnodar Krai.
-
E.
Konigsberg
Konigsberg is a surname most famously associated with American filmmaker, writer, and comedian Woody Allen, whose birth name is Allan Stewart Konigsberg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea88e6fc8190a4b73b8d32dae5a8 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:25 p.m.