Triple

T14311344
Position Surface form Disambiguated ID Type / Status
Subject Battle of Danubyu E354839 entity
Predicate location P40 FINISHED
Object Danubyu
Danubyu is a town in Myanmar’s Ayeyarwady Region, historically notable as the site of a major engagement during the First Anglo-Burmese War.
E1091383 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: Danubyu | Statement: [Battle of Danubyu, location, Danubyu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danubyu
Context triple: [Battle of Danubyu, location, Danubyu]
  • A. Didube
    Didube is a metro station in Tbilisi, Georgia, serving as a key transit hub that connects the city’s metro system with major bus and marshrutka routes to other regions.
  • B. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • C. Bayabas
    Bayabas is a coastal municipality in the Philippine province of Surigao del Sur known for its fishing communities and rural seaside landscapes.
  • D. Dule
    Dule are the Indigenous Guna people’s self-designation, referring to themselves as a distinct Native group of Panama and Colombia.
  • E. Yandabo
    Yandabo is a village in central Myanmar historically notable as the site where the Treaty of Yandabo ended the First Anglo-Burmese War in 1826.
  • 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: Danubyu
Triple: [Battle of Danubyu, location, Danubyu]
Generated description
Danubyu is a town in Myanmar’s Ayeyarwady Region, historically notable as the site of a major engagement during the First Anglo-Burmese War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Danubyu
Target entity description: Danubyu is a town in Myanmar’s Ayeyarwady Region, historically notable as the site of a major engagement during the First Anglo-Burmese War.
  • A. Didube
    Didube is a metro station in Tbilisi, Georgia, serving as a key transit hub that connects the city’s metro system with major bus and marshrutka routes to other regions.
  • B. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • C. Bayabas
    Bayabas is a coastal municipality in the Philippine province of Surigao del Sur known for its fishing communities and rural seaside landscapes.
  • D. Dule
    Dule are the Indigenous Guna people’s self-designation, referring to themselves as a distinct Native group of Panama and Colombia.
  • E. Yandabo
    Yandabo is a village in central Myanmar historically notable as the site where the Treaty of Yandabo ended the First Anglo-Burmese War in 1826.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b386d0819087d14f3ce84a1997 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d3124488190b2ea35949294e297 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3ded77748190b35908e046ccce67 completed May 8, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69fd3e7425348190abf09c103cc17305 completed May 8, 2026, 1:37 a.m.
Created at: April 10, 2026, 1:12 a.m.