Triple
T1443309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copa MX |
E31121
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object |
Corona
Corona is a globally popular Mexican beer brand produced by Grupo Modelo and widely associated with sports sponsorships and beach-themed marketing.
|
E165422
|
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: Corona | Statement: [Copa MX, sponsor, Corona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corona Context triple: [Copa MX, sponsor, Corona]
-
A.
Corona, California
Corona, California is a rapidly growing suburban city in Riverside County known for its residential communities, proximity to major Southern California freeways, and role as a gateway between Orange County and the Inland Empire.
-
B.
Kota
Kota is a major industrial and educational city in southeastern Rajasthan, India, known for its coaching institutes and power plants along the Chambal River.
-
C.
Kokota
Kokota is an Oceanic language spoken in the Solomon Islands, particularly on Santa Isabel Island.
-
D.
Lichtstad
Lichtstad is the Dutch nickname for the city of Eindhoven, reflecting its historic association with the lighting industry and companies like Philips.
-
E.
Majadahonda
Majadahonda is a suburban municipality west of Madrid, Spain, known for its residential character, shopping centers, and sports facilities.
- 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: Corona Triple: [Copa MX, sponsor, Corona]
Generated description
Corona is a globally popular Mexican beer brand produced by Grupo Modelo and widely associated with sports sponsorships and beach-themed marketing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Corona Target entity description: Corona is a globally popular Mexican beer brand produced by Grupo Modelo and widely associated with sports sponsorships and beach-themed marketing.
-
A.
Corona, California
Corona, California is a rapidly growing suburban city in Riverside County known for its residential communities, proximity to major Southern California freeways, and role as a gateway between Orange County and the Inland Empire.
-
B.
Kota
Kota is a major industrial and educational city in southeastern Rajasthan, India, known for its coaching institutes and power plants along the Chambal River.
-
C.
Kokota
Kokota is an Oceanic language spoken in the Solomon Islands, particularly on Santa Isabel Island.
-
D.
Lichtstad
Lichtstad is the Dutch nickname for the city of Eindhoven, reflecting its historic association with the lighting industry and companies like Philips.
-
E.
Majadahonda
Majadahonda is a suburban municipality west of Madrid, Spain, known for its residential character, shopping centers, and sports facilities.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c533a158819084d0917776edb6e5 |
completed | March 1, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08be450c8190bc0b8a69733a0bd4 |
completed | March 8, 2026, 5:27 a.m. |
| NEDg | Description generation | batch_69ad09823ce481908b5db3ee9ebd1a88 |
completed | March 8, 2026, 5:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0a8f17888190913c06641a6ac060 |
completed | March 8, 2026, 5:35 a.m. |
Created at: March 1, 2026, 8 p.m.