Triple

T16635034
Position Surface form Disambiguated ID Type / Status
Subject Qimen County E404176 entity
Predicate hasAlternativeName P39 FINISHED
Object Qimen E402897 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: Qimen | Statement: [Qimen County, hasAlternativeName, Qimen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qimen
Context triple: [Qimen County, hasAlternativeName, Qimen]
  • A. Qimen chosen
    Qimen is a historic county-level town in Anhui Province, China, best known as the origin of the famous Qimen (Keemun) black tea.
  • B. Deshengmen
    Deshengmen is a historic city gate and landmark in Beijing, China, known for its preserved gate tower and role as a starting point of the ancient road to the Great Wall.
  • C. Liwan Dusun
    Liwan Dusun is a sub-ethnic group of the Kadazan-Dusun people of Sabah, Malaysia, with its own distinct dialect and cultural traditions.
  • D. Andingmen
    Andingmen is a historic area and former city gate site in central Beijing, known for its traditional neighborhoods and proximity to key cultural landmarks.
  • E. Xiaojinmen
    Xiaojinmen is a small outlying island of Kinmen County, Taiwan, located near the coast of mainland China and known for its military history and strategic position in the Taiwan Strait.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e8a76c8190bf08e6f6dec63c50 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc05bd881909c6b2e0d95622aa1 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.