Triple

T9675175
Position Surface form Disambiguated ID Type / Status
Subject Republican era of China E234128 entity
Predicate hasCapital P204 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: [Republican era of China, hasCapital, Nanchang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanchang
Context triple: [Republican era of China, hasCapital, 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c6d6dd48190a77c486337a58cb6 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d99859b5cc81908475fde408802607 completed April 11, 2026, 12:39 a.m.
Created at: March 30, 2026, 8:15 p.m.