Triple
T12857234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Migros |
E307487
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
M-Budget
M-Budget is Migros' low-cost private-label product line in Switzerland, offering everyday goods at discounted prices.
|
E1006146
|
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: M-Budget | Statement: [Migros, hasBrand, M-Budget]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-Budget Context triple: [Migros, hasBrand, M-Budget]
-
A.
The Low Budgets
The Low Budgets are a punk rock band known for featuring drummer Benny Horowitz before his later success with The Gaslight Anthem.
-
B.
The Money
"The Money" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
-
C.
MMMBop
"MMMBop" is a 1997 pop song by the American band Hanson that became a worldwide hit and is widely recognized as their signature track.
-
D.
Mr. Box Office
Mr. Box Office is an American sitcom about a famous movie star sentenced to teach at an inner-city high school, blending celebrity culture with classroom comedy.
-
E.
The B Team
The B Team is a global nonprofit initiative that brings together business and civil society leaders to promote responsible, sustainable, and inclusive business practices worldwide.
- 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: M-Budget Triple: [Migros, hasBrand, M-Budget]
Generated description
M-Budget is Migros' low-cost private-label product line in Switzerland, offering everyday goods at discounted prices.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M-Budget Target entity description: M-Budget is Migros' low-cost private-label product line in Switzerland, offering everyday goods at discounted prices.
-
A.
The Low Budgets
The Low Budgets are a punk rock band known for featuring drummer Benny Horowitz before his later success with The Gaslight Anthem.
-
B.
The Money
"The Money" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
-
C.
MMMBop
"MMMBop" is a 1997 pop song by the American band Hanson that became a worldwide hit and is widely recognized as their signature track.
-
D.
Mr. Box Office
Mr. Box Office is an American sitcom about a famous movie star sentenced to teach at an inner-city high school, blending celebrity culture with classroom comedy.
-
E.
The B Team
The B Team is a global nonprofit initiative that brings together business and civil society leaders to promote responsible, sustainable, and inclusive business practices worldwide.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970231ce48190a4eabc4b8c24a3ff |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69ba9a53c81908e9ed120f6cb94af |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69d4a2ab481908460797a8ee6bc8d |
completed | May 3, 2026, 12:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69dc8b86c81908557fa8538e942de |
completed | May 3, 2026, 12:58 a.m. |
Created at: April 9, 2026, 5:37 p.m.