Triple

T2503049
Position Surface form Disambiguated ID Type / Status
Subject YREB E52510 entity
Predicate keyCity P235 FINISHED
Object Nanchang E66806 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: Nanchang | Statement: [YREB, keyCity, Nanchang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanchang
Context triple: [YREB, keyCity, Nanchang]
  • A. Nanchang chosen
    Nanchang is the capital and largest city of Jiangxi Province in southeastern China, known as an important regional industrial and transportation hub.
  • B. Ganzhou
    Ganzhou is a major prefecture-level city in southern Jiangxi Province, China, known as a regional economic and transportation hub with a long history and rich cultural heritage.
  • C. Jiujiang
    Jiujiang is a historic port city on the southern shores of the Yangtze River in southeastern China, known as a regional transport hub and gateway to the famous Lushan Mountain scenic area.
  • D. Ji'an
    Ji'an is a prefecture-level city in southeastern China known for its historical significance and cultural heritage within Jiangxi Province.
  • E. Ruijin
    Ruijin is a county-level city in southeastern China historically known as the "Cradle of the Chinese Revolution" for its role as an early center of Communist activity and the starting point of the Long March.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1cb4f6481908d4e0a1dc0d84d3c completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2357438648190b2dc11ae9b568a15 completed March 12, 2026, 3:39 a.m.
Created at: March 6, 2026, 9:46 p.m.