Triple
T13798691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storhamar Håndball |
E331581
|
entity |
| Predicate | league |
P888
|
FINISHED |
| Object |
REMA 1000-ligaen (women)
REMA 1000-ligaen (women) is the top-tier professional women's handball league in Norway.
|
E1061965
|
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: REMA 1000-ligaen (women) | Statement: [Storhamar Håndball, league, REMA 1000-ligaen (women)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: REMA 1000-ligaen (women) Context triple: [Storhamar Håndball, league, REMA 1000-ligaen (women)]
-
A.
Norwegian Toppserien
Norwegian Toppserien is the top-tier professional women's football league in Norway.
-
B.
Damallsvenskan
Damallsvenskan is the highest professional women's football league in Sweden, featuring the country's top clubs and players.
-
C.
Norwegian Women's Cup
The Norwegian Women's Cup is Norway's premier national knockout football tournament for women's clubs, culminating in a cup final that crowns the country's top women's team.
-
D.
Metal Ligaen
Metal Ligaen is Denmark's premier professional ice hockey league, featuring top Danish teams competing for the national championship.
-
E.
Swedish Women's Hockey League
The Swedish Women's Hockey League is the premier professional women's ice hockey league in Sweden, featuring the country's top female teams and players.
- 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: REMA 1000-ligaen (women) Triple: [Storhamar Håndball, league, REMA 1000-ligaen (women)]
Generated description
REMA 1000-ligaen (women) is the top-tier professional women's handball league in Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: REMA 1000-ligaen (women) Target entity description: REMA 1000-ligaen (women) is the top-tier professional women's handball league in Norway.
-
A.
Norwegian Toppserien
Norwegian Toppserien is the top-tier professional women's football league in Norway.
-
B.
Damallsvenskan
Damallsvenskan is the highest professional women's football league in Sweden, featuring the country's top clubs and players.
-
C.
Norwegian Women's Cup
The Norwegian Women's Cup is Norway's premier national knockout football tournament for women's clubs, culminating in a cup final that crowns the country's top women's team.
-
D.
Metal Ligaen
Metal Ligaen is Denmark's premier professional ice hockey league, featuring top Danish teams competing for the national championship.
-
E.
Swedish Women's Hockey League
The Swedish Women's Hockey League is the premier professional women's ice hockey league in Sweden, featuring the country's top female teams and players.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b086d6d48190b823ed0a4403fbc5 |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b138fda88190b2b7ffb51ce02a40 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b28ca218819097fc35042d3b278a |
completed | May 3, 2026, 8:39 p.m. |
Created at: April 9, 2026, 10:11 p.m.