Triple
T9271172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raate Road |
E222831
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Raate
Raate is a locality in eastern Finland known for its strategic Raate Road, a key site of fierce fighting during the Winter War between Finland and the Soviet Union.
|
E789083
|
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: Raate | Statement: [Raate Road, connects, Raate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raate Context triple: [Raate Road, connects, Raate]
-
A.
Kagermeer
Kagermeer is a lake in the Kagerplassen lake district in South Holland, Netherlands, popular for boating and watersports.
-
B.
Ruka
Ruka is a major Finnish ski resort and year-round outdoor destination located in northern Finland’s Kuusamo region.
-
C.
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.
-
D.
Ylla
Ylla is a short story by Ray Bradbury, set on Mars and exploring the inner life and unfulfilled desires of a Martian woman.
-
E.
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.
- 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: Raate Triple: [Raate Road, connects, Raate]
Generated description
Raate is a locality in eastern Finland known for its strategic Raate Road, a key site of fierce fighting during the Winter War between Finland and the Soviet Union.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raate Target entity description: Raate is a locality in eastern Finland known for its strategic Raate Road, a key site of fierce fighting during the Winter War between Finland and the Soviet Union.
-
A.
Kagermeer
Kagermeer is a lake in the Kagerplassen lake district in South Holland, Netherlands, popular for boating and watersports.
-
B.
Ruka
Ruka is a major Finnish ski resort and year-round outdoor destination located in northern Finland’s Kuusamo region.
-
C.
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.
-
D.
Ylla
Ylla is a short story by Ray Bradbury, set on Mars and exploring the inner life and unfulfilled desires of a Martian woman.
-
E.
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.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07865790819099b3865a25dae58a |
completed | April 1, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c2ca500819083ef4aa37f3e3a7f |
completed | April 4, 2026, 5:05 a.m. |
| NEDg | Description generation | batch_69d09d5047e8819082dbb2e44547b41c |
completed | April 4, 2026, 5:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d09dec544c819095e2109d5e1671d3 |
completed | April 4, 2026, 5:13 a.m. |
Created at: March 30, 2026, 7:33 p.m.