Triple

T5482259
Position Surface form Disambiguated ID Type / Status
Subject Wilmington, North Carolina E123492 entity
Predicate hasSisterCity P919 FINISHED
Object Dandong, China E301373 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: Dandong, China | Statement: [Wilmington, North Carolina, hasSisterCity, Dandong, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dandong, China
Context triple: [Wilmington, North Carolina, hasSisterCity, Dandong, China]
  • A. Dandong chosen
    Dandong is a northeastern Chinese border city on the Yalu River, known as a key gateway for trade and transport between China and North Korea.
  • B. Dalian
    Dalian is a major port city in northeastern China known for its strategic location on the Liaodong Peninsula, maritime trade, and modern urban development.
  • C. Huludao
    Huludao is a coastal city in southwestern Liaoning Province, China, known for its port, shipbuilding industry, and seaside tourism.
  • D. Port of Dalian
    The Port of Dalian is a major deep-water seaport in northeastern China that serves as a key gateway for international trade and shipping in the Bohai Sea region.
  • E. Tieling
    Tieling is a prefecture-level city in northeastern China known for its coal resources and location within Liaoning Province.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd924bac088190b7d08df91534b0bc completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a2880c8190ad76cf8c3862aede completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:09 p.m.