Triple
T16852589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LG Household & Health Care |
E409709
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Minute Maid (Korea) |
E85133
|
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: Minute Maid (Korea) | Statement: [LG Household & Health Care, hasBrand, Minute Maid (Korea)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minute Maid (Korea) Context triple: [LG Household & Health Care, hasBrand, Minute Maid (Korea)]
-
A.
Minute Maid
chosen
Minute Maid is a well-known beverage brand specializing in fruit juices and juice drinks, owned by The Coca-Cola Company.
-
B.
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.
-
C.
Lotte
Lotte is a common diminutive form of the given name Charlotte, used in several European languages.
-
D.
Jamba
Jamba is a character or component associated with the "Wolf" entity, likely serving as a notable supporting figure or element within its narrative or structure.
-
E.
Nestea
Nestea is a popular ready-to-drink and powdered iced tea beverage brand originally developed and marketed by Nestlé.
- 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_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. |
Created at: April 10, 2026, 5:24 a.m.