Triple
T4394799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gdańsk Lech Wałęsa Airport |
E99460
|
entity |
| Predicate | locatedInPartOfCity |
P12399
|
FINISHED |
| Object |
Matarnia
Matarnia is a district in the western part of Gdańsk, Poland, known for its major transport infrastructure and commercial facilities.
|
E436651
|
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: Matarnia | Statement: [Gdańsk Lech Wałęsa Airport, locatedInPartOfCity, Matarnia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matarnia Context triple: [Gdańsk Lech Wałęsa Airport, locatedInPartOfCity, Matarnia]
-
A.
Macaria
Macaria is a figure in Greek mythology known as a daughter of Heracles, associated with themes of sacrifice and deliverance.
-
B.
Maera
Maera is a figure from Greek mythology counted among the many descendants of the Titan Atlas.
-
C.
Manfalut
Manfalut is a city in Upper Egypt known as an agricultural and commercial center within the Asyut region along the Nile.
-
D.
Matua
Matua is a volcanic island in the central Kuril Islands chain, notable for its World War II-era Japanese military installations and strategic location in the northwest Pacific.
-
E.
Mestra
Mestra is a figure in Greek mythology, daughter of King Erysichthon, known for being granted the power of shape-shifting by Poseidon.
- 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: Matarnia Triple: [Gdańsk Lech Wałęsa Airport, locatedInPartOfCity, Matarnia]
Generated description
Matarnia is a district in the western part of Gdańsk, Poland, known for its major transport infrastructure and commercial facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matarnia Target entity description: Matarnia is a district in the western part of Gdańsk, Poland, known for its major transport infrastructure and commercial facilities.
-
A.
Macaria
Macaria is a figure in Greek mythology known as a daughter of Heracles, associated with themes of sacrifice and deliverance.
-
B.
Maera
Maera is a figure from Greek mythology counted among the many descendants of the Titan Atlas.
-
C.
Manfalut
Manfalut is a city in Upper Egypt known as an agricultural and commercial center within the Asyut region along the Nile.
-
D.
Matua
Matua is a volcanic island in the central Kuril Islands chain, notable for its World War II-era Japanese military installations and strategic location in the northwest Pacific.
-
E.
Mestra
Mestra is a figure in Greek mythology, daughter of King Erysichthon, known for being granted the power of shape-shifting by Poseidon.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352a9c8b88190a7894a40be4996f0 |
completed | March 12, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e536e1848190a2517ab351adfe48 |
completed | March 14, 2026, 10:46 p.m. |
| NEDg | Description generation | batch_69b5eeaf35348190a1611f5b04baed1f |
completed | March 14, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5ef5c7e0c819080b0e8914dcd6568 |
completed | March 14, 2026, 11:29 p.m. |
Created at: March 12, 2026, 11:20 p.m.