Triple

T12857237
Position Surface form Disambiguated ID Type / Status
Subject Migros E307487 entity
Predicate hasBrand P1500 FINISHED
Object M-Classic
M-Classic is Migros’ own-brand line offering everyday food and household products at affordable prices.
E1006148 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-Classic | Statement: [Migros, hasBrand, M-Classic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M-Classic
Context triple: [Migros, hasBrand, M-Classic]
  • A. M-50
    M-50 is a major orbital motorway around Madrid, Spain, designed to divert traffic from the city center and connect key suburbs and highways.
  • B. M-5
    M-5 is a state highway in southeastern Michigan that serves as a key commuter route connecting Novi and surrounding suburbs to the Detroit metropolitan area.
  • C. M-77
    M-77 is a state highway in Michigan, United States, running north–south through the eastern Upper Peninsula.
  • D. M-59
    M-59 is an east–west state highway in southeastern Michigan that serves as a major suburban arterial route connecting communities north of Detroit.
  • E. M-40
    M-40 is a major ring road encircling Madrid, Spain, serving as a key arterial route that connects various suburbs and municipalities around the city.
  • 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-Classic
Triple: [Migros, hasBrand, M-Classic]
Generated description
M-Classic is Migros’ own-brand line offering everyday food and household products at affordable prices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M-Classic
Target entity description: M-Classic is Migros’ own-brand line offering everyday food and household products at affordable prices.
  • A. M-50
    M-50 is a major orbital motorway around Madrid, Spain, designed to divert traffic from the city center and connect key suburbs and highways.
  • B. M-5
    M-5 is a state highway in southeastern Michigan that serves as a key commuter route connecting Novi and surrounding suburbs to the Detroit metropolitan area.
  • C. M-77
    M-77 is a state highway in Michigan, United States, running north–south through the eastern Upper Peninsula.
  • D. M-59
    M-59 is an east–west state highway in southeastern Michigan that serves as a major suburban arterial route connecting communities north of Detroit.
  • E. M-40
    M-40 is a state trunkline highway in Michigan that runs north–south through several counties, including Allegan County.
  • 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.