Triple
T15290139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vidzeme |
E365504
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Saulkrasti
Saulkrasti is a coastal town in northern Latvia known for its sandy Baltic Sea beaches and scenic sunsets.
|
E1147893
|
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: Saulkrasti | Statement: [Vidzeme, containsCity, Saulkrasti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saulkrasti Context triple: [Vidzeme, containsCity, Saulkrasti]
-
A.
Kraainem
Kraainem is a Dutch- and French-speaking suburban municipality on the eastern edge of Brussels in the Flemish Brabant province of Belgium.
-
B.
Ristna
Ristna is a small settlement in Estonia located on the island of Hiiumaa, known for its coastal scenery and proximity to the historic Ristna Lighthouse.
-
C.
Heltermaa
Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
-
D.
Rausu
Rausu is a small coastal town on Japan’s Shiretoko Peninsula, known for its rich marine wildlife, drift ice sightseeing, and access to the remote natural landscapes of eastern Hokkaido.
-
E.
Kraanerg
Kraanerg is a large-scale avant-garde work for orchestra and tape by Iannis Xenakis, known for its complex rhythms, dense textures, and integration of electronic sound.
- 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: Saulkrasti Triple: [Vidzeme, containsCity, Saulkrasti]
Generated description
Saulkrasti is a coastal town in northern Latvia known for its sandy Baltic Sea beaches and scenic sunsets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saulkrasti Target entity description: Saulkrasti is a coastal town in northern Latvia known for its sandy Baltic Sea beaches and scenic sunsets.
-
A.
Kraainem
Kraainem is a Dutch- and French-speaking suburban municipality on the eastern edge of Brussels in the Flemish Brabant province of Belgium.
-
B.
Ristna
Ristna is a small settlement in Estonia located on the island of Hiiumaa, known for its coastal scenery and proximity to the historic Ristna Lighthouse.
-
C.
Heltermaa
Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
-
D.
Rausu
Rausu is a small coastal town on Japan’s Shiretoko Peninsula, known for its rich marine wildlife, drift ice sightseeing, and access to the remote natural landscapes of eastern Hokkaido.
-
E.
Kraanerg
Kraanerg is a large-scale avant-garde work for orchestra and tape by Iannis Xenakis, known for its complex rhythms, dense textures, and integration of electronic sound.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e5635b4819092a69b5806d15bff |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7d4da4819080f101c3a525ea11 |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef050d1588190942e1d3f3083607a |
completed | May 9, 2026, 8:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef19d55588190b816d4c37f3a7010 |
completed | May 9, 2026, 8:34 a.m. |
Created at: April 10, 2026, 3:15 a.m.