Triple
T6776240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herning Blue Fox |
E155161
|
entity |
| Predicate | league |
P888
|
FINISHED |
| Object |
Metal Ligaen
Metal Ligaen is Denmark's premier professional ice hockey league, featuring top Danish teams competing for the national championship.
|
E618270
|
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: Metal Ligaen | Statement: [Herning Blue Fox, league, Metal Ligaen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metal Ligaen Context triple: [Herning Blue Fox, league, Metal Ligaen]
-
A.
Eliteserien
Eliteserien is the top professional football league in Norway, featuring the country’s highest-level clubs in the sport.
-
B.
Norwegian Toppserien
Norwegian Toppserien is the top-tier professional women's football league in Norway.
-
C.
Erovnuli Liga
Erovnuli Liga is the top professional football division in Georgia, featuring the country’s leading clubs in its premier league competition.
-
D.
Milli Lig
Milli Lig was the original name of Turkey’s top professional football league, which later became known as the Süper Lig.
-
E.
Allsvenskan
Allsvenskan is the top professional football league in Sweden, featuring the country’s highest-level clubs in a season-long competition.
- 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: Metal Ligaen Triple: [Herning Blue Fox, league, Metal Ligaen]
Generated description
Metal Ligaen is Denmark's premier professional ice hockey league, featuring top Danish teams competing for the national championship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Metal Ligaen Target entity description: Metal Ligaen is Denmark's premier professional ice hockey league, featuring top Danish teams competing for the national championship.
-
A.
Eliteserien
Eliteserien is the top professional football league in Norway, featuring the country’s highest-level clubs in the sport.
-
B.
Norwegian Toppserien
Norwegian Toppserien is the top-tier professional women's football league in Norway.
-
C.
Erovnuli Liga
Erovnuli Liga is the top professional football division in Georgia, featuring the country’s leading clubs in its premier league competition.
-
D.
Milli Lig
Milli Lig was the original name of Turkey’s top professional football league, which later became known as the Süper Lig.
-
E.
Allsvenskan
Allsvenskan is the top professional football league in Sweden, featuring the country’s highest-level clubs in a season-long competition.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d24f77c88190be21cf4ef132aa31 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712cc9ff08190bb7ec0bf4cc4db01 |
completed | March 27, 2026, 11:29 p.m. |
| NEDg | Description generation | batch_69c71396f1f88190b3316e694424a2fe |
completed | March 27, 2026, 11:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71466728c81909a24174a7938b43a |
completed | March 27, 2026, 11:36 p.m. |
Created at: March 27, 2026, 2:13 p.m.