Triple

T17597517
Position Surface form Disambiguated ID Type / Status
Subject Tiền Giang E428610 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Kinh NE NERFINISHED

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: Kinh | Statement: [Tiền Giang, hasEthnicGroup, Kinh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinh
Context triple: [Tiền Giang, hasEthnicGroup, Kinh]
  • A. Kinh chosen
    The Kinh are the majority ethnic group of Vietnam, historically dominant in its politics, culture, and economy.
  • B. Kinh Bac
    Kinh Bac is a historic cultural region in northern Vietnam renowned for its rich traditions, including the UNESCO-recognized Quan họ folk singing.
  • C. Wujing
    Wujing is a residential town in Shanghai, China, located within the city's Minhang District.
  • D. Cheonji
    Cheonji is the high-altitude crater lake atop Paektu Mountain on the border of China and North Korea, renowned for its scenic beauty and volcanic origin.
  • E. Kothao Keu Nei
    Kothao Keu Nei is a hugely popular Bangladeshi television drama series and novel by Humayun Ahmed, centered on the iconic character Baker Bhai and known for its profound social impact and emotional storytelling.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ecfb108190a9e7a5b380f8ab93 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.