Triple
T16788270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diamond League |
E408034
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Wanda Group |
E44136
|
NE FINISHED |
How this triple was built (2 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: Wanda Group | Statement: [Diamond League, sponsor, Wanda Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanda Group Context triple: [Diamond League, sponsor, Wanda Group]
-
A.
Dalian Wanda Group
chosen
Dalian Wanda Group is a major Chinese multinational conglomerate with core businesses in commercial property, entertainment, and tourism.
-
B.
Sinobo Group
Sinobo Group is a Chinese investment and real estate conglomerate best known in sports for its ownership stake in Beijing Guoan Football Club.
-
C.
SUN Group
SUN Group is a major Indian media and entertainment conglomerate with interests spanning television, radio, film production, and sports franchise ownership.
-
D.
Bengang Group
Bengang Group is a major Chinese steel company that serves as the corporate sponsor of the Liaoning Flying Leopards basketball team.
-
E.
Wanda Culture Group
Wanda Culture Group is the cultural and entertainment arm of China’s Dalian Wanda Group, focusing on businesses such as film, television, and related media and cultural industries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b21c49788190b9a2ca2101604f64 |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab09932c8190ba16a349c4938c16 |
completed | May 10, 2026, 3:58 p.m. |
Created at: April 10, 2026, 5:22 a.m.