Triple

T9192525
Position Surface form Disambiguated ID Type / Status
Subject Wa language E220623 entity
Predicate usedIn P98 FINISHED
Object Wa State
Wa State is an autonomous, self-administered region in northern Myanmar predominantly inhabited by the Wa ethnic group and governed by the United Wa State Army.
 E788136 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: Wa State | Statement: [Wa language, usedIn, Wa State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wa State
Context triple: [Wa language, usedIn, Wa State]
  • A. WA
    WA is a UK postcode area covering parts of Warrington and surrounding towns in northwest England.
  • B. WA
    WA is the IATA airline designator assigned to KLM Cityhopper, the regional subsidiary of KLM Royal Dutch Airlines.
  • C. WA
    WA is the vehicle registration code used on license plates for cars registered in Warsaw, the capital city of Poland.
  • D. Washington
    Washington is the given first name of Uruguayan former professional footballer and coach Sebastián "Loco" Abreu.
  • E. Washington
    Washington is the capital city of the United States, known as the center of the federal government and home to numerous national monuments and institutions.
  • 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: Wa State
Triple: [Wa language, usedIn, Wa State]
Generated description
Wa State is an autonomous, self-administered region in northern Myanmar predominantly inhabited by the Wa ethnic group and governed by the United Wa State Army.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wa State
Target entity description: Wa State is an autonomous, self-administered region in northern Myanmar predominantly inhabited by the Wa ethnic group and governed by the United Wa State Army.
  • A. WA
    WA is a UK postcode area covering parts of Warrington and surrounding towns in northwest England.
  • B. WA
    WA is the IATA airline designator assigned to KLM Cityhopper, the regional subsidiary of KLM Royal Dutch Airlines.
  • C. WA
    WA is the vehicle registration code used on license plates for cars registered in Warsaw, the capital city of Poland.
  • D. Washington
    Washington is the given first name of Uruguayan former professional footballer and coach Sebastián "Loco" Abreu.
  • E. Washington
    Washington is the capital city of the United States, known as the center of the federal government and home to numerous national monuments and institutions.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c1fa9c8190bc5cc6dce8778694 completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b8b37488190b72f2b4c55fd9a8c completed April 4, 2026, 5:03 a.m.
NEDg Description generation batch_69d09cf11e488190b61f4a61002454e6 completed April 4, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_69d09e2069048190ac22b738fa324771 completed April 4, 2026, 5:14 a.m.
Created at: March 30, 2026, 7:24 p.m.