Triple

T9659306
Position Surface form Disambiguated ID Type / Status
Subject H&M E233546 entity
Predicate hasBrand P1500 FINISHED
Object Afound
Afound is a discount retail concept from H&M that offers curated, reduced-price fashion and lifestyle products from H&M Group brands and other labels.
 E812956 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: Afound | Statement: [H&M, hasBrand, Afound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Afound
Context triple: [H&M, hasBrand, Afound]
  • A. Afantou
    Afantou is a village and seaside resort on the island of Rhodes in Greece, known for its long beach and traditional character.
  • B. Afmadow
    Afmadow is a significant town in southern Somalia that serves as one of the main urban centers of the Jubaland region.
  • C. Afa
    Afa is a small commune in the Corse-du-Sud department on the French island of Corsica, located inland near the Gulf of Ajaccio.
  • D. Afareaitu
    Afareaitu is the main administrative village of the island of Moorea in French Polynesia.
  • E. Farkadona
    Farkadona is a town and municipality in central Greece, situated in the Thessaly 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: Afound
Triple: [H&M, hasBrand, Afound]
Generated description
Afound is a discount retail concept from H&M that offers curated, reduced-price fashion and lifestyle products from H&M Group brands and other labels.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Afound
Target entity description: Afound is a discount retail concept from H&M that offers curated, reduced-price fashion and lifestyle products from H&M Group brands and other labels.
  • A. Afantou
    Afantou is a village and seaside resort on the island of Rhodes in Greece, known for its long beach and traditional character.
  • B. Afmadow
    Afmadow is a significant town in southern Somalia that serves as one of the main urban centers of the Jubaland region.
  • C. Afa
    Afa is a small commune in the Corse-du-Sud department on the French island of Corsica, located inland near the Gulf of Ajaccio.
  • D. Afareaitu
    Afareaitu is the main administrative village of the island of Moorea in French Polynesia.
  • E. Farkadona
    Farkadona is a town and municipality in central Greece, situated in the Thessaly 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bdfc3b08190835e86ff99663214 completed April 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a0b84a0819083191beeaf8d968b completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18ac0796c8190b48ccdb9c5052332 completed April 4, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69d18b7f7510819083a402d6802c7d95 completed April 4, 2026, 10:06 p.m.
Created at: March 30, 2026, 8:14 p.m.