Triple
T2695742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Espoo |
E58506
|
entity |
| Predicate | hasShoppingCentre |
P4285
|
FINISHED |
| Object |
Iso Omena
Iso Omena is a large shopping and services center in Espoo, Finland, featuring a wide range of retail stores, restaurants, and public services.
|
E290452
|
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: Iso Omena | Statement: [Espoo, hasShoppingCentre, Iso Omena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iso Omena Context triple: [Espoo, hasShoppingCentre, Iso Omena]
-
A.
Vilailuck Teigen
Vilailuck Teigen is a Thai-American television personality and social media figure best known as the mother of model and author Chrissy Teigen.
-
B.
Sakari
Sakari is a Finnish given name commonly used for males, derived from the biblical name Zachary.
-
C.
Einar
Einar is a masculine given name of Norse origin commonly used in Scandinavian countries.
-
D.
Kukkonen
Kukkonen is a Finnish surname most notably associated with Greta Kukkonen, the first wife of U.S. President Ronald Reagan.
-
E.
Halvdan Koht
Halvdan Koht was a prominent Norwegian historian, politician, and former foreign minister known for his influential role in early 20th-century Norwegian academic and political life.
- 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: Iso Omena Triple: [Espoo, hasShoppingCentre, Iso Omena]
Generated description
Iso Omena is a large shopping and services center in Espoo, Finland, featuring a wide range of retail stores, restaurants, and public services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iso Omena Target entity description: Iso Omena is a large shopping and services center in Espoo, Finland, featuring a wide range of retail stores, restaurants, and public services.
-
A.
Vilailuck Teigen
Vilailuck Teigen is a Thai-American television personality and social media figure best known as the mother of model and author Chrissy Teigen.
-
B.
Sakari
Sakari is a Finnish given name commonly used for males, derived from the biblical name Zachary.
-
C.
Einar
Einar is a masculine given name of Norse origin commonly used in Scandinavian countries.
-
D.
Kukkonen
Kukkonen is a Finnish surname most notably associated with Greta Kukkonen, the first wife of U.S. President Ronald Reagan.
-
E.
Halvdan Koht
Halvdan Koht was a prominent Norwegian historian, politician, and former foreign minister known for his influential role in early 20th-century Norwegian academic and political life.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda2f7bf88190a1e3103dd014d871 |
completed | March 7, 2026, 7:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf6aa78c8190b57be36042008361 |
completed | March 10, 2026, 5:43 a.m. |
| NEDg | Description generation | batch_69afb01b48508190a9b668a7273ad422 |
completed | March 10, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb09133788190862d4b24d77facc0 |
completed | March 10, 2026, 5:48 a.m. |
Created at: March 6, 2026, 9:55 p.m.