Triple
T1945111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warmia-Masuria region |
E42042
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Łukta
Łukta is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its proximity to the region’s lakes and forests.
|
E220565
|
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: Łukta | Statement: [Warmia-Masuria region, hasMajorCity, Łukta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Łukta Context triple: [Warmia-Masuria region, hasMajorCity, Łukta]
-
A.
Gilga
Gilga is a production company known for its work on the television series "Swarm."
-
B.
Lagoona
Lagoona is a creative work or character whose style and themes are shaped by the fantastical, fairy-filled world and motifs associated with Oberon from literature and mythology.
-
C.
Arona
Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
-
D.
Hulhumalé
Hulhumalé is a reclaimed island and planned urban development in the Maldives, created to expand housing and infrastructure near the capital, Malé.
-
E.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
- 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: Łukta Triple: [Warmia-Masuria region, hasMajorCity, Łukta]
Generated description
Łukta is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its proximity to the region’s lakes and forests.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Łukta Target entity description: Łukta is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its proximity to the region’s lakes and forests.
-
A.
Gilga
Gilga is a production company known for its work on the television series "Swarm."
-
B.
Lagoona
Lagoona is a creative work or character whose style and themes are shaped by the fantastical, fairy-filled world and motifs associated with Oberon from literature and mythology.
-
C.
Arona
Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
-
D.
Hulhumalé
Hulhumalé is a reclaimed island and planned urban development in the Maldives, created to expand housing and infrastructure near the capital, Malé.
-
E.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb300af2481908ae359972843c1ef |
completed | March 7, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbbcc5688190aad081dc8d119e7f |
completed | March 8, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69adfc50a3488190afe44ee5125d9ebd |
completed | March 8, 2026, 10:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfcdccce48190a2591b90c81ad084 |
completed | March 8, 2026, 10:49 p.m. |
Created at: March 4, 2026, 7:36 p.m.