Triple

T8219687
Position Surface form Disambiguated ID Type / Status
Subject Mountain City E192025 entity
Predicate associatedWith P37 FINISHED
Object Yangtze River E13303 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: Yangtze River | Statement: [Mountain City, associatedWith, Yangtze River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yangtze River
Context triple: [Mountain City, associatedWith, Yangtze River]
  • A. Yangtze River chosen
    The Yangtze River is the longest river in Asia and a crucial waterway in China, supporting major cities, transportation, agriculture, and hydroelectric power.
  • B. Fujiang River
    The Fujiang River is a significant river in southwestern China that flows through Sichuan and Chongqing, contributing to the regional water system and ultimately joining the Min River.
  • C. Chang River
    The Chang River is a significant waterway flowing through Jingdezhen, a city in Jiangxi Province renowned for its porcelain production.
  • D. Yellow River
    The Yellow River is a river in the U.S. state of Florida that flows through the western Panhandle before emptying into Escambia Bay near the Gulf of Mexico.
  • E. Yellow River
    The Yellow River is a tributary stream that feeds into Lough Allen, a lake in the River Shannon system in Ireland.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb7772b76c8190b1952650c736eb91 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd05abe248190a2dc2dbb27255a87 completed April 3, 2026, 2:36 p.m.
Created at: March 30, 2026, 5:45 p.m.