Triple
T9639781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uusikaupunki |
E233031
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object |
Isokari
Isokari is a Finnish Baltic Sea island known for its historic lighthouse and rugged coastal nature, located off the coast of Uusikaupunki.
|
E813199
|
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: Isokari | Statement: [Uusikaupunki, hasNearbyIsland, Isokari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isokari Context triple: [Uusikaupunki, hasNearbyIsland, Isokari]
-
A.
Esaki
Esaki is a Japanese surname most notably associated with physicist Leo Esaki, a Nobel laureate recognized for his pioneering work on quantum tunneling in semiconductors.
-
B.
Nuriro
Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
-
C.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
D.
Nakanai
Nakanai is an Austronesian language spoken on the island of New Britain in Papua New Guinea, known for its role in the linguistic diversity of the Bismarck Archipelago.
-
E.
Keiyo
Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
- 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: Isokari Triple: [Uusikaupunki, hasNearbyIsland, Isokari]
Generated description
Isokari is a Finnish Baltic Sea island known for its historic lighthouse and rugged coastal nature, located off the coast of Uusikaupunki.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Isokari Target entity description: Isokari is a Finnish Baltic Sea island known for its historic lighthouse and rugged coastal nature, located off the coast of Uusikaupunki.
-
A.
Esaki
Esaki is a Japanese surname most notably associated with physicist Leo Esaki, a Nobel laureate recognized for his pioneering work on quantum tunneling in semiconductors.
-
B.
Nuriro
Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
-
C.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
D.
Nakanai
Nakanai is an Austronesian language spoken on the island of New Britain in Papua New Guinea, known for its role in the linguistic diversity of the Bismarck Archipelago.
-
E.
Keiyo
Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b532aa4819087b56be6f5635126 |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189fd53fc8190bc36f2b8e0e21036 |
completed | April 4, 2026, 10 p.m. |
| NEDg | Description generation | batch_69d18acf86588190bc000f701bcaaa1c |
completed | April 4, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18ba396cc8190a3ded2ac3968c553 |
completed | April 4, 2026, 10:07 p.m. |
Created at: March 30, 2026, 8:12 p.m.