Triple

T6263156
Position Surface form Disambiguated ID Type / Status
Subject Humen E140348 entity
Predicate strategicRole P2850 FINISHED
Object Gateway to Guangzhou E165029 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: Gateway to Guangzhou | Statement: [Humen, strategicRole, Gateway to Guangzhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gateway to Guangzhou
Context triple: [Humen, strategicRole, Gateway to Guangzhou]
  • A. Guangzhou Bus Terminal
    Guangzhou Bus Terminal is a major long-distance and regional bus hub in Guangzhou, China, providing extensive coach connections to cities within Guangdong province and beyond.
  • B. Port of Guangzhou chosen
    The Port of Guangzhou is one of China’s largest and busiest seaports, serving as a major hub for international trade and shipping in the Pearl River Delta region.
  • C. Guangzhou BRT
    Guangzhou BRT is a high-capacity bus rapid transit system in Guangzhou, China, recognized for its innovative corridor design and heavy passenger throughput.
  • D. Port of Foshan
    The Port of Foshan is an inland river port and major regional shipping hub located in Foshan along China’s Pearl River Delta.
  • E. Guangzhou Railway Station
    Guangzhou Railway Station is one of the main railway hubs in Guangzhou, China, serving extensive long-distance and regional rail services across the country.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06387fec0819095b47a37b9402aa9 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2445061a481909487fdb04c50493b completed March 24, 2026, 7:59 a.m.
Created at: March 22, 2026, 4:25 p.m.