Triple
T15218025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fashion-MNIST |
E363689
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
Zalando Research
Zalando Research is the machine learning and artificial intelligence research arm of Zalando, focusing on advancing algorithms for fashion-related applications such as computer vision and recommendation systems.
|
E1143953
|
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: Zalando Research | Statement: [Fashion-MNIST, developer, Zalando Research]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zalando Research Context triple: [Fashion-MNIST, developer, Zalando Research]
-
A.
Zara
Zara is a global fast-fashion retail brand known for rapidly translating runway trends into affordable clothing and accessories for a mass-market audience.
-
B.
Zara
Zara is a town and district in Turkey known for its location in the eastern part of the Central Anatolia region.
-
C.
Zara
Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
-
D.
Zara
Zara is a character in the 1953 film noir "Pickup on South Street," involved in the story’s underworld of espionage and crime.
-
E.
Catalogue Service for the Web
Catalogue Service for the Web is an Open Geospatial Consortium specification that defines standard web interfaces for discovering, browsing, and querying metadata about geospatial data and services.
- 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: Zalando Research Triple: [Fashion-MNIST, developer, Zalando Research]
Generated description
Zalando Research is the machine learning and artificial intelligence research arm of Zalando, focusing on advancing algorithms for fashion-related applications such as computer vision and recommendation systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zalando Research Target entity description: Zalando Research is the machine learning and artificial intelligence research arm of Zalando, focusing on advancing algorithms for fashion-related applications such as computer vision and recommendation systems.
-
A.
Zara
Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
-
B.
Zara
Zara is a character in the 1953 film noir "Pickup on South Street," involved in the story’s underworld of espionage and crime.
-
C.
Zara
Zara is a global fast-fashion retail brand known for rapidly translating runway trends into affordable clothing and accessories for a mass-market audience.
-
D.
Zara
Zara is a town and district in Turkey known for its location in the eastern part of the Central Anatolia region.
-
E.
Catalogue Service for the Web
Catalogue Service for the Web is an Open Geospatial Consortium specification that defines standard web interfaces for discovering, browsing, and querying metadata about geospatial data and services.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076f90c481909989befe031a2cae |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed345d58c81908a8fd182c0fe7c15 |
completed | May 9, 2026, 6:25 a.m. |
| NEDg | Description generation | batch_69fed7620d948190858c3b4acae0cbf5 |
completed | May 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed7d9934c8190bd2d00830e5d33bb |
completed | May 9, 2026, 6:44 a.m. |
Created at: April 10, 2026, 3:11 a.m.