Triple

T10304765
Position Surface form Disambiguated ID Type / Status
Subject Magway Region E241721 entity
Predicate hasTown P847 FINISHED
Object Gangaw
Gangaw is a town in central Myanmar known as an administrative and trading center within the Magway Region.
E854232 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: Gangaw | Statement: [Magway Region, hasTown, Gangaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gangaw
Context triple: [Magway Region, hasTown, Gangaw]
  • A. Genga
    Genga is a small town and comune in Italy’s Marche region, known as the birthplace of Pope Leo XII and for its nearby Frasassi Caves.
  • B. Ngaju
    Ngaju is an Austronesian language spoken primarily by the Ngaju Dayak people in Central Kalimantan on the island of Borneo in Indonesia.
  • C. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • D. Gangte
    Gangte is a Kuki-Chin language spoken primarily by the Gangte people in parts of Northeast India, especially in Manipur.
  • E. Tuman-gang
    Tuman-gang is a river in Northeast Asia that forms part of the borders between China, North Korea, and Russia before flowing into the Sea of Japan.
  • 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: Gangaw
Triple: [Magway Region, hasTown, Gangaw]
Generated description
Gangaw is a town in central Myanmar known as an administrative and trading center within the Magway Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gangaw
Target entity description: Gangaw is a town in central Myanmar known as an administrative and trading center within the Magway Region.
  • A. Genga
    Genga is a small town and comune in Italy’s Marche region, known as the birthplace of Pope Leo XII and for its nearby Frasassi Caves.
  • B. Ngaju
    Ngaju is an Austronesian language spoken primarily by the Ngaju Dayak people in Central Kalimantan on the island of Borneo in Indonesia.
  • C. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • D. Gangte
    Gangte is a Kuki-Chin language spoken primarily by the Gangte people in parts of Northeast India, especially in Manipur.
  • E. Tuman-gang
    Tuman-gang is a river in Northeast Asia that forms part of the borders between China, North Korea, and Russia before flowing into the Sea of Japan.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d308f034819098da69b963eb8a02 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d58416081909a010e905d70e934 completed April 9, 2026, 3:30 a.m.
NEDg Description generation batch_69d73185266481909e79eddc33469d8d completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d73279922c8190b616e1a61df4d227 completed April 9, 2026, 5 a.m.
Created at: April 6, 2026, 11:45 a.m.