Triple
T12660514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Espoo |
E302409
|
entity |
| Predicate | hasShoppingCentre |
P4285
|
FINISHED |
| Object | Iso Omena |
E290452
|
NE FINISHED |
How this triple was built (2 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.
Iso Omena
chosen
Iso Omena is a large shopping and services center in Espoo, Finland, featuring a wide range of retail stores, restaurants, and public services.
-
B.
Oksanen
Oksanen is a Finnish surname most notably borne by acclaimed author Sofi Oksanen.
-
C.
Sanna
Sanna is a river in the Tyrol region of western Austria, known as a tributary of the Inn and a popular destination for whitewater sports.
-
D.
Jarmo
Jarmo is an early Neolithic archaeological village site in modern Iraq, notable as one of the earliest known farming communities in the Near East.
-
E.
Juho
Juho is a Finnish masculine given name historically borne by several notable figures, including statesmen and cultural personalities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66885e44c8190a650301b0e86d0f4 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:19 p.m.