Triple
T16914369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helsinki tram network |
E410283
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object |
Koskelan varikko
Koskelan varikko is a major tram depot and maintenance facility serving the public transport system in Helsinki, Finland.
|
E1239879
|
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: Koskelan varikko | Statement: [Helsinki tram network, hasDepot, Koskelan varikko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koskelan varikko Context triple: [Helsinki tram network, hasDepot, Koskelan varikko]
-
A.
Kyösti
Kyösti is a Finnish masculine given name, notably borne by Kyösti Kallio, the fourth President of Finland.
-
B.
Kylmäkoski
Kylmäkoski is a former municipality in the Pirkanmaa region of Finland, now part of the town of Akaa.
-
C.
Köyliö
Köyliö is a small former municipality in western Finland known for its rural landscape and historical significance, particularly in the Satakunta region.
-
D.
Siikainen
Siikainen is a small rural municipality in western Finland known for its forests, lakes, and location within the Satakunta region.
-
E.
Kotikaivolla
Kotikaivolla is a literary work by Finnish writer Sylvi Kekkonen, reflecting her characteristic introspective and domestic themes.
- 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: Koskelan varikko Triple: [Helsinki tram network, hasDepot, Koskelan varikko]
Generated description
Koskelan varikko is a major tram depot and maintenance facility serving the public transport system in Helsinki, Finland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koskelan varikko Target entity description: Koskelan varikko is a major tram depot and maintenance facility serving the public transport system in Helsinki, Finland.
-
A.
Kyösti
Kyösti is a Finnish masculine given name, notably borne by Kyösti Kallio, the fourth President of Finland.
-
B.
Kylmäkoski
Kylmäkoski is a former municipality in the Pirkanmaa region of Finland, now part of the town of Akaa.
-
C.
Köyliö
Köyliö is a small former municipality in western Finland known for its rural landscape and historical significance, particularly in the Satakunta region.
-
D.
Siikainen
Siikainen is a small rural municipality in western Finland known for its forests, lakes, and location within the Satakunta region.
-
E.
Kotikaivolla
Kotikaivolla is a literary work by Finnish writer Sylvi Kekkonen, reflecting her characteristic introspective and domestic themes.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3f1a2c8190a512ccc09a080eb4 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7be679c8190b9d0b0b9cfe185d3 |
completed | May 10, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a00c9059a2c819099ede5a7b6e25b18 |
completed | May 10, 2026, 6:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c9d1c6a0819083635b8246cc82e7 |
completed | May 10, 2026, 6:09 p.m. |
Created at: April 10, 2026, 5:30 a.m.