Triple
T12190678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Espoonlahti |
E290451
|
entity |
| Predicate | hasShoppingCentre |
P4285
|
FINISHED |
| Object |
Lippulaiva
Lippulaiva is a major shopping center in the Espoonlahti district of Espoo, Finland, featuring a wide range of retail stores, services, and public facilities.
|
E964478
|
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: Lippulaiva | Statement: [Espoonlahti, hasShoppingCentre, Lippulaiva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lippulaiva Context triple: [Espoonlahti, hasShoppingCentre, Lippulaiva]
-
A.
Icebreaker Sampo
Icebreaker Sampo is a former Finnish icebreaker turned popular tourist vessel offering ice-cruises and Arctic experiences in the Gulf of Bothnia near Kemi.
-
B.
Karavola
Karavola is the summit that forms the highest peak of Mount Parnitha in Greece.
-
C.
Hvalba
Hvalba is a village on the Faroe Islands' southernmost island of Suðuroy, known for its historic coal mining and scenic coastal landscape.
-
D.
Lisberg
Lisberg is a Danish-origin surname most notably associated with figures such as Jens Oliver Lisberg.
-
E.
Kalewa
Kalewa is a town in northwestern Myanmar that serves as a strategic river port and transport hub along the Chindwin River.
- 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: Lippulaiva Triple: [Espoonlahti, hasShoppingCentre, Lippulaiva]
Generated description
Lippulaiva is a major shopping center in the Espoonlahti district of Espoo, Finland, featuring a wide range of retail stores, services, and public facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lippulaiva Target entity description: Lippulaiva is a major shopping center in the Espoonlahti district of Espoo, Finland, featuring a wide range of retail stores, services, and public facilities.
-
A.
Icebreaker Sampo
Icebreaker Sampo is a former Finnish icebreaker turned popular tourist vessel offering ice-cruises and Arctic experiences in the Gulf of Bothnia near Kemi.
-
B.
Karavola
Karavola is the summit that forms the highest peak of Mount Parnitha in Greece.
-
C.
Hvalba
Hvalba is a village on the Faroe Islands' southernmost island of Suðuroy, known for its historic coal mining and scenic coastal landscape.
-
D.
Lisberg
Lisberg is a Danish-origin surname most notably associated with figures such as Jens Oliver Lisberg.
-
E.
Kalewa
Kalewa is a town in northwestern Myanmar that serves as a strategic river port and transport hub along the Chindwin River.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c5340248190b79379423f3a3ca1 |
completed | April 10, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6b240f88190af916054869c3b95 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f5ff826ea08190a6780351e4b927ac |
completed | May 2, 2026, 1:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60185ce8c8190abe3b1f633aac55d |
completed | May 2, 2026, 1:52 p.m. |
Created at: April 8, 2026, 9:50 p.m.