Triple

T7636023
Position Surface form Disambiguated ID Type / Status
Subject Nanjing Lukou International Airport E172879 entity
Predicate nearbyCity P350 FINISHED
Object Zhenjiang E140148 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: Zhenjiang | Statement: [Nanjing Lukou International Airport, nearbyCity, Zhenjiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhenjiang
Context triple: [Nanjing Lukou International Airport, nearbyCity, Zhenjiang]
  • A. Zhenjiang chosen
    Zhenjiang is a historic port city in eastern China known for its strategic location on the Yangtze River and its rich cultural and culinary heritage.
  • B. Changzhou
    Changzhou is a major industrial and commercial city in Jiangsu Province, eastern China, known for its manufacturing base and location along the Yangtze River.
  • C. Zhangjiagang
    Zhangjiagang is a county-level city in Jiangsu Province, China, known as a prosperous port and industrial hub along the Yangtze River.
  • D. Nantong
    Nantong is a coastal city in eastern China known for its textile industry, river and sea ports, and location on the northern bank of the Yangtze River opposite Shanghai.
  • E. Wuxi
    Wuxi is a major industrial and cultural city in eastern China, located near Lake Tai and known for its manufacturing, canals, and historic gardens.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faa95e488190962c23609e0890a5 completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4f142c48190a63f6e25dad3d57e completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 3:57 p.m.