Triple
T2551055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tromsø |
E56624
|
entity |
| Predicate | hasStadium |
P105
|
FINISHED |
| Object |
Alfheim Stadion
Alfheim Stadion is a football stadium in Tromsø, Norway, best known as the home ground of the Norwegian club Tromsø IL.
|
E276637
|
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: Alfheim Stadion | Statement: [Tromsø, hasStadium, Alfheim Stadion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfheim Stadion Context triple: [Tromsø, hasStadium, Alfheim Stadion]
-
A.
Soevereinstadion
Soevereinstadion is a football stadium in Lommel, Belgium, primarily used for hosting the home matches of Lommel SK.
-
B.
Ullevaal Stadion
Ullevaal Stadion is Norway’s national football stadium and a major sports and events arena located in Oslo.
-
C.
Ullevi Stadium
Ullevi Stadium is a major multi-purpose arena in Gothenburg, Sweden, known for hosting large football matches, athletics events, and concerts.
-
D.
Sarpsborg Stadion
Sarpsborg Stadion is a football stadium in Sarpsborg, Norway, primarily used as the home ground of the club Sarpsborg 08 FF.
-
E.
Volksparkstadion
Volksparkstadion is a major football stadium in Hamburg, Germany, known for hosting top-level club and international matches, including games of the German national team.
- 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: Alfheim Stadion Triple: [Tromsø, hasStadium, Alfheim Stadion]
Generated description
Alfheim Stadion is a football stadium in Tromsø, Norway, best known as the home ground of the Norwegian club Tromsø IL.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alfheim Stadion Target entity description: Alfheim Stadion is a football stadium in Tromsø, Norway, best known as the home ground of the Norwegian club Tromsø IL.
-
A.
Soevereinstadion
Soevereinstadion is a football stadium in Lommel, Belgium, primarily used for hosting the home matches of Lommel SK.
-
B.
Ullevaal Stadion
Ullevaal Stadion is Norway’s national football stadium and a major sports and events arena located in Oslo.
-
C.
Ullevi Stadium
Ullevi Stadium is a major multi-purpose arena in Gothenburg, Sweden, known for hosting large football matches, athletics events, and concerts.
-
D.
Sarpsborg Stadion
Sarpsborg Stadion is a football stadium in Sarpsborg, Norway, primarily used as the home ground of the club Sarpsborg 08 FF.
-
E.
Volksparkstadion
Volksparkstadion is a major football stadium in Hamburg, Germany, known for hosting top-level club and international matches, including games of the German national team.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2eaaf688190926a1104be12a540 |
completed | March 7, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d14a58c819094250ee393f95a37 |
completed | March 9, 2026, 11:51 p.m. |
| NEDg | Description generation | batch_69af5db1c290819099d88815ebe97c1b |
completed | March 9, 2026, 11:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af5e2cd2588190bc24c3cdd350fa70 |
completed | March 9, 2026, 11:56 p.m. |
Created at: March 6, 2026, 9:48 p.m.