Triple
T18235264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Długie Pobrzeże |
E436656
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Gdańsk Crane |
—
|
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: Gdańsk Crane | Statement: [Długie Pobrzeże, hasViewOf, Gdańsk Crane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gdańsk Crane Context triple: [Długie Pobrzeże, hasViewOf, Gdańsk Crane]
-
A.
Gdynia Sea Towers
Gdynia Sea Towers is a prominent modern high-rise complex on the Baltic Sea waterfront in Gdynia, Poland, known as one of the tallest residential buildings in the country.
-
B.
Crane over the Motława
chosen
Crane over the Motława is a historic medieval port crane and one of the most iconic symbols of Gdańsk’s maritime heritage.
-
C.
Crane
Crane is a common English surname borne by numerous notable individuals across literature, politics, and other fields.
-
D.
Crane
Crane is a small city in western Texas that serves as the administrative and economic center of Crane County, historically tied to the region’s oil industry.
-
E.
Crane
Crane is a character from the "Kung Fu Panda" franchise, depicted as a skilled, slender bird kung fu master and member of the Furious Five.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b5ce608190b6fba518256607da |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:33 a.m.