Triple
T8108879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walmart Inc. |
E189293
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Flipkart
Flipkart is a major Indian e-commerce company known for its wide online marketplace and significant role in shaping India’s digital retail sector.
|
E712661
|
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: Flipkart | Statement: [Walmart Inc., hasSubsidiary, Flipkart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flipkart Context triple: [Walmart Inc., hasSubsidiary, Flipkart]
-
A.
Daraz
Daraz is a leading South Asian e-commerce platform offering a wide range of products and digital services across multiple countries.
-
B.
Kogan
Kogan is a variant form of the Jewish surname Cohen, often arising from transliteration or regional spelling differences.
-
C.
GoMart
GoMart is Gojek’s on-demand grocery and daily essentials delivery service available through the Gojek super app.
-
D.
Shopee
Shopee is a major Southeast Asian e-commerce platform known for its mobile-first marketplace, wide range of products, and integrated digital payment and logistics services.
-
E.
Alibaba.com
Alibaba.com is a leading global online business-to-business (B2B) marketplace that connects suppliers, primarily manufacturers and wholesalers, with buyers around the world.
- 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: Flipkart Triple: [Walmart Inc., hasSubsidiary, Flipkart]
Generated description
Flipkart is a major Indian e-commerce company known for its wide online marketplace and significant role in shaping India’s digital retail sector.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flipkart Target entity description: Flipkart is a major Indian e-commerce company known for its wide online marketplace and significant role in shaping India’s digital retail sector.
-
A.
Daraz
Daraz is a leading South Asian e-commerce platform offering a wide range of products and digital services across multiple countries.
-
B.
Kogan
Kogan is a variant form of the Jewish surname Cohen, often arising from transliteration or regional spelling differences.
-
C.
GoMart
GoMart is Gojek’s on-demand grocery and daily essentials delivery service available through the Gojek super app.
-
D.
Shopee
Shopee is a major Southeast Asian e-commerce platform known for its mobile-first marketplace, wide range of products, and integrated digital payment and logistics services.
-
E.
Alibaba.com
Alibaba.com is a leading global online business-to-business (B2B) marketplace that connects suppliers, primarily manufacturers and wholesalers, with buyers around the world.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42fbc57c81908c6be87bbc547085 |
completed | March 31, 2026, 3:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9421794081909170ea11b09ae357 |
completed | April 1, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69cc95bfb2b08190ae4bbf8fdde3165d |
completed | April 1, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc9771b6e48190bd5f45c3f8853890 |
completed | April 1, 2026, 3:56 a.m. |
Created at: March 30, 2026, 5:32 p.m.