Triple
T16852590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LG Household & Health Care |
E409709
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Seagram (Korea)
Seagram (Korea) is a beverage brand in South Korea known for its carbonated drinks and sparkling water products.
|
E1236262
|
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: Seagram (Korea) | Statement: [LG Household & Health Care, hasBrand, Seagram (Korea)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seagram (Korea) Context triple: [LG Household & Health Care, hasBrand, Seagram (Korea)]
-
A.
Hansol
Hansol is a locality in Ahmedabad, India, situated near Sardar Vallabhbhai Patel International Airport and known primarily as a residential and commercial area serving airport-related activities.
-
B.
Lotte
Lotte is a common diminutive form of the given name Charlotte, used in several European languages.
-
C.
Lotte
Lotte is a municipality in the German state of North Rhine-Westphalia, known for its location near Osnabrück and its local football club Sportfreunde Lotte.
-
D.
Shinsegae Group
Shinsegae Group is a major South Korean retail conglomerate best known for its department stores, supermarkets, and diverse consumer-focused businesses.
-
E.
Sudogwon
Sudogwon is the Seoul Capital Area of South Korea, encompassing Seoul, Incheon, and surrounding Gyeonggi Province as the country’s largest and most populous metropolitan region.
- 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: Seagram (Korea) Triple: [LG Household & Health Care, hasBrand, Seagram (Korea)]
Generated description
Seagram (Korea) is a beverage brand in South Korea known for its carbonated drinks and sparkling water products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seagram (Korea) Target entity description: Seagram (Korea) is a beverage brand in South Korea known for its carbonated drinks and sparkling water products.
-
A.
Hansol
Hansol is a locality in Ahmedabad, India, situated near Sardar Vallabhbhai Patel International Airport and known primarily as a residential and commercial area serving airport-related activities.
-
B.
Lotte
Lotte is a common diminutive form of the given name Charlotte, used in several European languages.
-
C.
Lotte
Lotte is a municipality in the German state of North Rhine-Westphalia, known for its location near Osnabrück and its local football club Sportfreunde Lotte.
-
D.
Shinsegae Group
Shinsegae Group is a major South Korean retail conglomerate best known for its department stores, supermarkets, and diverse consumer-focused businesses.
-
E.
Sudogwon
Sudogwon is the Seoul Capital Area of South Korea, encompassing Seoul, Incheon, and surrounding Gyeonggi Province as the country’s largest and most populous metropolitan region.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37abadc81909d02d329403497d6 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb216fac81909d401c6b9911d1e0 |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bb9b2b1881908f9f5c3dd1a2d500 |
completed | May 10, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc3a4b888190bd190b9330e2777d |
completed | May 10, 2026, 5:11 p.m. |
Created at: April 10, 2026, 5:24 a.m.