Triple
T16621910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mats Zuccarello |
E403851
|
entity |
| Predicate | youthClub |
P1088
|
FINISHED |
| Object |
Hasle-Løren IL
Hasle-Løren IL is a Norwegian sports club from Oslo known for its ice hockey program that helped develop NHL player Mats Zuccarello.
|
E1225049
|
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: Hasle-Løren IL | Statement: [Mats Zuccarello, youthClub, Hasle-Løren IL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hasle-Løren IL Context triple: [Mats Zuccarello, youthClub, Hasle-Løren IL]
-
A.
Lørenskog IF
Lørenskog IF is a Norwegian sports club best known for its football team, based in Lørenskog near Oslo.
-
B.
Drøbak-Frogn IL
Drøbak-Frogn IL is a Norwegian sports club best known for its football program, which helped develop future international star Martin Ødegaard in his youth.
-
C.
Sandnes HK
Sandnes HK is a Norwegian handball club based in the city of Sandnes.
-
D.
Tromsø IL
Tromsø IL is a Norwegian professional football club based in the city of Tromsø, known for competing in the country’s top divisions and for being one of the world’s northernmost elite clubs.
-
E.
Kjelsås IL
Kjelsås IL is a Norwegian multi-sport club based in the Kjelsås neighborhood of Oslo, known for activities such as football, handball, and skiing.
- 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: Hasle-Løren IL Triple: [Mats Zuccarello, youthClub, Hasle-Løren IL]
Generated description
Hasle-Løren IL is a Norwegian sports club from Oslo known for its ice hockey program that helped develop NHL player Mats Zuccarello.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hasle-Løren IL Target entity description: Hasle-Løren IL is a Norwegian sports club from Oslo known for its ice hockey program that helped develop NHL player Mats Zuccarello.
-
A.
Lørenskog IF
Lørenskog IF is a Norwegian sports club best known for its football team, based in Lørenskog near Oslo.
-
B.
Drøbak-Frogn IL
Drøbak-Frogn IL is a Norwegian sports club best known for its football program, which helped develop future international star Martin Ødegaard in his youth.
-
C.
Sandnes HK
Sandnes HK is a Norwegian handball club based in the city of Sandnes.
-
D.
Tromsø IL
Tromsø IL is a Norwegian professional football club based in the city of Tromsø, known for competing in the country’s top divisions and for being one of the world’s northernmost elite clubs.
-
E.
Kjelsås IL
Kjelsås IL is a Norwegian multi-sport club based in the Kjelsås neighborhood of Oslo, known for activities such as football, handball, and skiing.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754e80ec8190b3c66b33dbc7463c |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db27f788190a3c57b7ea8a8a9c6 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007eaca31081909cc81e73af61f2f0 |
completed | May 10, 2026, 12:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007fde282c81909c9e7b210dd6e715 |
completed | May 10, 2026, 12:53 p.m. |
Created at: April 10, 2026, 5:17 a.m.