Triple
T11161081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warmian-Masurian Voivodeship |
E264035
|
entity |
| Predicate | containsLake |
P1025
|
FINISHED |
| Object |
Narie
Narie is a scenic lake in northern Poland known for its clean waters, irregular shoreline, and popularity for recreation such as sailing and fishing.
|
E909212
|
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: Narie | Statement: [Warmian-Masurian Voivodeship, containsLake, Narie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narie Context triple: [Warmian-Masurian Voivodeship, containsLake, Narie]
-
A.
Nari
Nari is a groundbreaking feminist work by Bangladeshi writer and scholar Humayun Azad that critically examines the oppression and social position of women in Bengali and broader South Asian society.
-
B.
Naicker
Naicker is an Indian-origin surname commonly found in South Asia, particularly among Tamil-speaking communities.
-
C.
Nane
Nane is a Swedish lawyer and artist best known as the widow of former United Nations Secretary-General Kofi Annan.
-
D.
Naba-Nita
Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
-
E.
Naenae
Naenae is a residential suburb in Lower Hutt, New Zealand, known for its post-war state housing, community facilities, and proximity to central Hutt City.
- 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: Narie Triple: [Warmian-Masurian Voivodeship, containsLake, Narie]
Generated description
Narie is a scenic lake in northern Poland known for its clean waters, irregular shoreline, and popularity for recreation such as sailing and fishing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Narie Target entity description: Narie is a scenic lake in northern Poland known for its clean waters, irregular shoreline, and popularity for recreation such as sailing and fishing.
-
A.
Nari
Nari is a groundbreaking feminist work by Bangladeshi writer and scholar Humayun Azad that critically examines the oppression and social position of women in Bengali and broader South Asian society.
-
B.
Naicker
Naicker is an Indian-origin surname commonly found in South Asia, particularly among Tamil-speaking communities.
-
C.
Nane
Nane is a Swedish lawyer and artist best known as the widow of former United Nations Secretary-General Kofi Annan.
-
D.
Naba-Nita
Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
-
E.
Naenae
Naenae is a residential suburb in Lower Hutt, New Zealand, known for its post-war state housing, community facilities, and proximity to central Hutt City.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8817a90819087820d5241c58851 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4636268d0819088873f2062115506 |
completed | April 19, 2026, 5:08 a.m. |
| NEDg | Description generation | batch_69e46c374ca08190a876ee68dea9b821 |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4747bc02c81908f0782cf85667f3f |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 8, 2026, 9:29 p.m.