Triple
T21469557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gdańsk County |
E529687
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Suchy Dąb
Suchy Dąb is a village in northern Poland that serves as the seat of its local administrative district within Gdańsk County in the Pomeranian Voivodeship.
|
E1579262
|
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: Suchy Dąb | Statement: [Gdańsk County, containsTown, Suchy Dąb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suchy Dąb Context triple: [Gdańsk County, containsTown, Suchy Dąb]
-
A.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
B.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Tuchola
Tuchola is a town in northern Poland that lends its name to the surrounding Tuchola Forest, one of the largest forest complexes in the country.
-
E.
Suchedniów
Suchedniów is a small town in south-central Poland, known for its surrounding forests and lakes and its location within the Świętokrzyskie 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: Suchy Dąb Triple: [Gdańsk County, containsTown, Suchy Dąb]
Generated description
Suchy Dąb is a village in northern Poland that serves as the seat of its local administrative district within Gdańsk County in the Pomeranian Voivodeship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suchy Dąb Target entity description: Suchy Dąb is a village in northern Poland that serves as the seat of its local administrative district within Gdańsk County in the Pomeranian Voivodeship.
-
A.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
B.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Tuchola
Tuchola is a town in northern Poland that lends its name to the surrounding Tuchola Forest, one of the largest forest complexes in the country.
-
E.
Suchedniów
Suchedniów is a small town in south-central Poland, known for its surrounding forests and lakes and its location within the Świętokrzyskie 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea12d9048190bf51ca3efc435a64 |
completed | April 23, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c5c6c848190b9ebf0abf4a8435d |
completed | May 19, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a0c4d2cb4848190b7a10e1184ca0064 |
completed | May 19, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4daeaf5c81909eca82f6d9103b9a |
completed | May 19, 2026, 11:46 a.m. |
Created at: April 16, 2026, 6:16 p.m.