Triple

T14192924
Position Surface form Disambiguated ID Type / Status
Subject Beihan E351756 entity
Predicate capital P234 FINISHED
Object Beihan (town)
Beihan (town) is an urban settlement that serves as the administrative and political center of its surrounding region.
E1085224 NE FINISHED

How this triple was built (4 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: Beihan (town) | Statement: [Beihan, capital, Beihan (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beihan (town)
Context triple: [Beihan, capital, Beihan (town)]
  • A. Beinan Township
    Beinan Township is a rural administrative area in southeastern Taiwan known for its indigenous culture, hot springs, and archaeological sites within Taitung County.
  • B. Hakha town
    Hakha town is the capital of Chin State in western Myanmar, serving as a cultural and administrative center for the Hakha Chin people.
  • C. Linbian Township
    Linbian Township is a coastal rural township in southern Taiwan known for its hot climate and agricultural products, particularly mangoes and other tropical fruits.
  • D. Gucun Town
    Gucun Town is a suburban township in Shanghai, China, known for its large Gucun Park and residential communities within Baoshan District.
  • E. Hana town
    Hana town is a small, remote community on the eastern coast of Maui, Hawaii, known for its lush landscapes, scenic coastal drive, and traditional rural character.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Beihan (town)
Triple: [Beihan, capital, Beihan (town)]
Generated description
Beihan (town) is an urban settlement that serves as the administrative and political center of its surrounding region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beihan (town)
Target entity description: Beihan (town) is an urban settlement that serves as the administrative and political center of its surrounding region.
  • A. Beinan Township
    Beinan Township is a rural administrative area in southeastern Taiwan known for its indigenous culture, hot springs, and archaeological sites within Taitung County.
  • B. Hakha town
    Hakha town is the capital of Chin State in western Myanmar, serving as a cultural and administrative center for the Hakha Chin people.
  • C. Linbian Township
    Linbian Township is a coastal rural township in southern Taiwan known for its hot climate and agricultural products, particularly mangoes and other tropical fruits.
  • D. Gucun Town
    Gucun Town is a suburban township in Shanghai, China, known for its large Gucun Park and residential communities within Baoshan District.
  • E. Hana town
    Hana town is a small, remote community on the eastern coast of Maui, Hawaii, known for its lush landscapes, scenic coastal drive, and traditional rural character.
  • F. None of above. chosen

Provenance (5 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e0a52081908213aa6e548d4418 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194951d481909a8e81f2d09feefa completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1b2ace9c8190a7458e5c43a3c3d6 completed May 7, 2026, 11:07 p.m.
NED2 Entity disambiguation (via description) batch_69fd1c61b994819081dcc92ae33772ed completed May 7, 2026, 11:12 p.m.
Created at: April 10, 2026, 1:04 a.m.