Triple

T4954931
Position Surface form Disambiguated ID Type / Status
Subject Tmall E111257 entity
Predicate competitor P1375 FINISHED
Object Pinduoduo E478910 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: Pinduoduo | Statement: [Tmall, competitor, Pinduoduo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinduoduo
Context triple: [Tmall, competitor, Pinduoduo]
  • A. Pinduoduo chosen
    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.
  • B. Paipai
    Paipai are an indigenous people of northern Baja California, Mexico, traditionally speaking a Yuman language and maintaining distinct cultural and historical traditions in the region.
  • C. 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.
  • D. Cainiao Network
    Cainiao Network is a Chinese logistics and supply chain company that provides technology-driven delivery and fulfillment services for e-commerce, particularly supporting Alibaba’s online marketplaces.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71b945c0819082723712905f8295 completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81da92b48190ab41ad8f7a891544 completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:32 p.m.