Triple
T1830399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seurasaarenselkä |
E40748
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Tamminiemi
Tamminiemi is a historic villa in Helsinki, Finland, best known as the former official residence of the President and now a museum.
|
E203465
|
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: Tamminiemi | Statement: [Seurasaarenselkä, near, Tamminiemi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamminiemi Context triple: [Seurasaarenselkä, near, Tamminiemi]
-
A.
Tumpa
Tumpa is a song featured on the album "Legend of the Sun Virgin."
-
B.
Terjola
Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
-
C.
Emmen
Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
-
D.
Taalunie
Taalunie is an international institution that coordinates and promotes the Dutch language and literature across Dutch-speaking regions.
-
E.
Taivalkoski
Taivalkoski is a rural municipality in Northern Ostrobothnia, Finland, known for its forests, lakes, and outdoor recreation opportunities.
- 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: Tamminiemi Triple: [Seurasaarenselkä, near, Tamminiemi]
Generated description
Tamminiemi is a historic villa in Helsinki, Finland, best known as the former official residence of the President and now a museum.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamminiemi Target entity description: Tamminiemi is a historic villa in Helsinki, Finland, best known as the former official residence of the President and now a museum.
-
A.
Tumpa
Tumpa is a song featured on the album "Legend of the Sun Virgin."
-
B.
Terjola
Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
-
C.
Emmen
Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
-
D.
Taalunie
Taalunie is an international institution that coordinates and promotes the Dutch language and literature across Dutch-speaking regions.
-
E.
Taivalkoski
Taivalkoski is a rural municipality in Northern Ostrobothnia, Finland, known for its forests, lakes, and outdoor recreation opportunities.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0144cc08190abd1a6cf44e64daf |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf6d49988190b8cb1773609a379b |
completed | March 8, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69adc07fff60819092b10dd0e417ac5a |
completed | March 8, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adc0fd79c48190864f53a90517edc6 |
completed | March 8, 2026, 6:33 p.m. |
Created at: March 4, 2026, 7:32 p.m.