Triple
T9774941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobelco Steelers |
E237222
|
entity |
| Predicate | formerLeague |
P5927
|
FINISHED |
| Object |
Top League
Top League was Japan’s former top-tier professional rugby union competition featuring corporate and club teams from across the country.
|
E819665
|
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: Top League | Statement: [Kobelco Steelers, formerLeague, Top League]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Top League Context triple: [Kobelco Steelers, formerLeague, Top League]
-
A.
V.League 1
V.League 1 is the top professional football league in Vietnam, featuring the country’s leading clubs and players.
-
B.
National First Division
The National First Division is South Africa’s second-tier professional football league, sitting just below the top-flight Premiership in the country’s soccer pyramid.
-
C.
J3 League
The J3 League is the third tier of professional football in Japan, sitting below the J1 and J2 Leagues in the national league system.
-
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.
J2 League
The J2 League is the second division of professional football in Japan, sitting below the top-tier J1 League in the country's league system.
- 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: Top League Triple: [Kobelco Steelers, formerLeague, Top League]
Generated description
Top League was Japan’s former top-tier professional rugby union competition featuring corporate and club teams from across the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Top League Target entity description: Top League was Japan’s former top-tier professional rugby union competition featuring corporate and club teams from across the country.
-
A.
V.League 1
V.League 1 is the top professional football league in Vietnam, featuring the country’s leading clubs and players.
-
B.
National First Division
The National First Division is South Africa’s second-tier professional football league, sitting just below the top-flight Premiership in the country’s soccer pyramid.
-
C.
J3 League
The J3 League is the third tier of professional football in Japan, sitting below the J1 and J2 Leagues in the national league system.
-
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.
J2 League
The J2 League is the second division of professional football in Japan, sitting below the top-tier J1 League in the country's league system.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda13148288190bcbb3b4a066d9fc1 |
completed | April 1, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bd18542881908860f9e8e3927f23 |
completed | April 5, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_69d1be312e208190985599c8447dc630 |
completed | April 5, 2026, 1:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1bea090b48190ae903036cc79dded |
completed | April 5, 2026, 1:45 a.m. |
Created at: March 30, 2026, 8:26 p.m.