Triple
T3613411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kościuszko Square |
E76541
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object |
Dar Pomorza
Dar Pomorza is a historic Polish sailing frigate, now preserved as a museum ship and popular tourist attraction in Gdynia.
|
E374074
|
NE FINISHED |
How this triple was built (4 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: Dar Pomorza | Statement: [Kościuszko Square, hasNearbyAttraction, Dar Pomorza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dar Pomorza Context triple: [Kościuszko Square, hasNearbyAttraction, Dar Pomorza]
-
A.
Żegota
Żegota was a clandestine Polish World War II organization dedicated to rescuing and aiding Jews under Nazi occupation.
-
B.
Zułów
Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
-
C.
Czarny Groń
Czarny Groń is a mountain peak in southern Poland, located in the Maków Beskids range and known for its hiking and skiing opportunities.
-
D.
Lastochka
Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
-
E.
Sorkwity
Sorkwity is a village in northern Poland known for its scenic lakeside setting and historic manor house, situated in the Warmian-Masurian Voivodeship.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dar Pomorza Triple: [Kościuszko Square, hasNearbyAttraction, Dar Pomorza]
Generated description
Dar Pomorza is a historic Polish sailing frigate, now preserved as a museum ship and popular tourist attraction in Gdynia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dar Pomorza Target entity description: Dar Pomorza is a historic Polish sailing frigate, now preserved as a museum ship and popular tourist attraction in Gdynia.
-
A.
Żegota
Żegota was a clandestine Polish World War II organization dedicated to rescuing and aiding Jews under Nazi occupation.
-
B.
Zułów
Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
-
C.
Czarny Groń
Czarny Groń is a mountain peak in southern Poland, located in the Maków Beskids range and known for its hiking and skiing opportunities.
-
D.
Lastochka
Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
-
E.
Sorkwity
Sorkwity is a village in northern Poland known for its scenic lakeside setting and historic manor house, situated in the Warmian-Masurian Voivodeship.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2786f808190be4e42734a79d74e |
completed | March 8, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b43316224081909372f1007becc663 |
completed | March 13, 2026, 3:53 p.m. |
| NEDg | Description generation | batch_69b4384ae2948190bb5b371ab35a9057 |
completed | March 13, 2026, 4:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b438db5e8c8190a6cfcbade88e7d46 |
completed | March 13, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:23 p.m.