Triple
T13764626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elbląg |
E330705
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Elbląg |
E397923
|
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: Port of Elbląg | Statement: [Elbląg, hasPort, Port of Elbląg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Elbląg Context triple: [Elbląg, hasPort, Port of Elbląg]
-
A.
Port of Elbląg
chosen
The Port of Elbląg is a regional seaport and transport hub on the Elbląg River near the Vistula Lagoon, serving cargo, passenger, and recreational traffic in northern Poland.
-
B.
Port of Gdańsk
The Port of Gdańsk is one of Poland’s largest and most important seaports on the Baltic Sea, serving as a major hub for international trade and maritime transport.
-
C.
Port of Szczecin
The Port of Szczecin is a major Polish seaport on the Oder River near the Baltic Sea, serving as an important hub for maritime trade and inland waterway transport in northwestern Poland.
-
D.
Port of Gdynia
The Port of Gdynia is a major seaport on Poland’s Baltic coast, serving as a key hub for maritime trade, passenger traffic, and naval activity.
-
E.
Port of Świnoujście
The Port of Świnoujście is a key Baltic Sea seaport and ferry terminal in northwestern Poland, serving both commercial shipping and passenger traffic.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022690ac8190bd5410ecc659a2a7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a862e6808190b8fbb27304212058 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:10 p.m.