Triple

T2973235
Position Surface form Disambiguated ID Type / Status
Subject Karen State E80330 entity
Predicate hasMajorTown P316 FINISHED
Object Kawkareik
Kawkareik is a principal town in southeastern Myanmar’s Karen State, serving as a local administrative and commercial center.
 E316917 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: Kawkareik | Statement: [Karen State, hasMajorTown, Kawkareik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kawkareik
Context triple: [Karen State, hasMajorTown, Kawkareik]
  • A. Gukumatz
    Gukumatz is a feathered serpent deity of the Kʼicheʼ Maya, closely associated with creation, wind, and wisdom and identified with the Mesoamerican god Quetzalcoatl.
  • B. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • C. Gannat
    Gannat is a small town in central France known for its rich paleontological heritage and traditional cultural festivals.
  • D. Kirsha
    Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
  • E. Gwarinpa
    Gwarinpa is a large, planned residential district in Abuja, Nigeria, known for its extensive housing estates and relatively well-organized urban layout.
  • 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: Kawkareik
Triple: [Karen State, hasMajorTown, Kawkareik]
Generated description
Kawkareik is a principal town in southeastern Myanmar’s Karen State, serving as a local administrative and commercial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kawkareik
Target entity description: Kawkareik is a principal town in southeastern Myanmar’s Karen State, serving as a local administrative and commercial center.
  • A. Gukumatz
    Gukumatz is a feathered serpent deity of the Kʼicheʼ Maya, closely associated with creation, wind, and wisdom and identified with the Mesoamerican god Quetzalcoatl.
  • B. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • C. Gannat
    Gannat is a small town in central France known for its rich paleontological heritage and traditional cultural festivals.
  • D. Kirsha
    Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
  • E. Gwarinpa
    Gwarinpa is a large, planned residential district in Abuja, Nigeria, known for its extensive housing estates and relatively well-organized urban layout.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9987bb6c8190adfb447b76276962 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108e6a5448190ae32e6d2db8e7248 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10a9ba2248190b756cb92437f49ec completed March 11, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69b10bb131e48190b0982db3a9656ddc completed March 11, 2026, 6:29 a.m.
Created at: March 8, 2026, 2:58 p.m.