Triple
T6359382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hartwall Areena |
E143070
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Hartwall |
E587528
|
NE FINISHED |
How this triple was built (2 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: Hartwall | Statement: [Hartwall Areena, sponsor, Hartwall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hartwall Context triple: [Hartwall Areena, sponsor, Hartwall]
-
A.
Hartwall
chosen
Hartwall is a Finnish beverage company best known for producing soft drinks, beers, and bottled waters.
-
B.
Tallinna Sadam AS
Tallinna Sadam AS is an Estonian state-owned port and logistics company that manages and develops the Port of Tallinn and related maritime infrastructure.
-
C.
Aunus Group
The Aunus Group was a Finnish military formation that operated on the eastern front during World War II, particularly in the region of East Karelia.
-
D.
Orkla
Orkla is a major river in Trøndelag county, Norway, known for its scenic valley and renowned salmon fishing.
-
E.
Tarkett Group
Tarkett Group is a global flooring and sports surfaces company known for producing a wide range of resilient, wood, laminate, and artificial turf solutions for commercial and residential markets.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067f72f8481908f9df0c0cdf22a52 |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c63869ef148190816b152f2724de49 |
completed | March 27, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:32 p.m.