Triple

T2097652
Position Surface form Disambiguated ID Type / Status
Subject Huangpu River E37018 entity
Predicate flowsThrough P225 FINISHED
Object Puxi E42014 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: Puxi | Statement: [Huangpu River, flowsThrough, Puxi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puxi
Context triple: [Huangpu River, flowsThrough, Puxi]
  • A. Puxi chosen
    Puxi is the historic, densely urbanized western part of Shanghai, known for its traditional neighborhoods, commercial districts, and cultural landmarks.
  • B. Pudong New Area
    Pudong New Area is a major district of Shanghai known for its modern skyline, financial hub in Lujiazui, and rapid urban and economic development along the eastern bank of the Huangpu River.
  • C. Hongkou District
    Hongkou District is a central urban district of Shanghai, China, known for its historic neighborhoods, cultural landmarks, and role in the city’s commercial and residential life.
  • D. Jinqiao
    Jinqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities and growing commercial and industrial zones.
  • E. Dongsi
    Dongsi is a historic neighborhood and street-crossroads area in central Beijing known for its traditional hutong lanes and long-standing commercial streets.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba9cb84481909fe0a66c020b8864 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbba881848190acaff6d216799c2d completed March 10, 2026, 6:35 a.m.
Created at: March 4, 2026, 7:43 p.m.