Triple

T2073215
Position Surface form Disambiguated ID Type / Status
Subject Mê Linh District E44862 entity
Predicate administrativeCenter P1474 FINISHED
Object Chi Đông E231347 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: Chi Đông | Statement: [Mê Linh District, administrativeCenter, Chi Đông]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chi Đông
Context triple: [Mê Linh District, administrativeCenter, Chi Đông]
  • A. Chi Đông chosen
    Chi Đông is a township in Vietnam that serves as the administrative and economic center of Mê Linh District in Hanoi.
  • B. Wi Ha-joon
    Wi Ha-joon is a South Korean actor and model best known internationally for his breakout role in the hit Netflix survival drama series "Squid Game."
  • C. Kim Jong-suk
    Kim Jong-suk was a Korean anti-Japanese guerrilla fighter and revered North Korean revolutionary figure, celebrated as the first wife of Kim Il Sung and mother of Kim Jong Il.
  • D. Koo In-hwoi
    Koo In-hwoi was a South Korean entrepreneur who built one of the country’s leading chaebols, the LG Group, helping pioneer its modern electronics and chemical industries.
  • E. Peter Sohn
    Peter Sohn is an American animator, voice actor, and film director at Pixar known for his work on projects like "Ratatouille," "The Good Dinosaur," and "Elemental."
  • 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba101c008190840763d2f28fa8d7 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae30547b288190ab9466686f749768 completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:41 p.m.