Triple
T9844840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuri Milner |
E239313
|
entity |
| Predicate | investedIn |
P17330
|
FINISHED |
| Object | JD.com |
E478909
|
NE FINISHED |
How this triple was built (2 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: JD.com | Statement: [Yuri Milner, investedIn, JD.com]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JD.com Context triple: [Yuri Milner, investedIn, JD.com]
-
A.
JD.com
chosen
JD.com is a major Chinese e-commerce company known for its vast online retail platform, nationwide logistics network, and direct-sales model.
-
B.
Tmall
Tmall is a major Chinese business-to-consumer online retail platform that hosts official brand stores and serves as a premium marketplace for domestic and international merchants.
-
C.
Pinduoduo
Pinduoduo is a major Chinese e-commerce platform known for its group-buying model and deep discounts that target price-sensitive consumers, especially in lower-tier cities.
-
D.
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.
-
E.
Taobao
Taobao is a major Chinese online shopping platform known for its vast marketplace of consumer-to-consumer and business-to-consumer goods.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb35dc29c819080203be5b904dc9d |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5dda4b0819092703270e87bee5a |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:33 p.m.