Triple
T15832223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Didi Dache |
E383898
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Kuaidi Dache |
E383900
|
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: Kuaidi Dache | Statement: [Didi Dache, competitor, Kuaidi Dache]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuaidi Dache Context triple: [Didi Dache, competitor, Kuaidi Dache]
-
A.
Kuaidi Dache
chosen
Kuaidi Dache was a major Chinese ride-hailing platform that became part of Didi Chuxing through a high-profile merger that helped create China’s dominant ride-sharing company.
-
B.
Yuantong
Yuantong is a Chinese era name used during the Yuan dynasty, preceding the Zhizheng era.
-
C.
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.
-
D.
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.
-
E.
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.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e653e388190a4696cdb22546715 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999f9ccc8190bc859c2b78a16baf |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.