Triple

T9842259
Position Surface form Disambiguated ID Type / Status
Subject Pyay E239253 entity
Predicate hasAlternativeTransliteration P5923 FINISHED
Object Pye
Pye is an alternative transliteration of Pyay, a historic city in central Myanmar located on the Irrawaddy River.
 E825390 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: Pye | Statement: [Pyay, hasAlternativeTransliteration, Pye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pye
Context triple: [Pyay, hasAlternativeTransliteration, Pye]
  • A. Muye
    Muye was the site of an ancient Chinese battlefield where the Zhou forces decisively overthrew the Shang dynasty.
  • B. Eonyang
    Eonyang is a town in South Korea that serves as the administrative and commercial center of Ulju County in Ulsan.
  • C. Giha
    Giha is an alternate name for the Ha language, a Bantu language spoken primarily in western Tanzania.
  • D. Kangha
    Kangha is a small wooden comb that serves as one of the Five Ks in Sikhism, symbolizing cleanliness and discipline for initiated Sikhs.
  • E. Sennan
    Sennan is a coastal city in Osaka Prefecture, Japan, known for its proximity to Kansai International Airport and its role as part of the greater Osaka metropolitan area.
  • 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: Pye
Triple: [Pyay, hasAlternativeTransliteration, Pye]
Generated description
Pye is an alternative transliteration of Pyay, a historic city in central Myanmar located on the Irrawaddy River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pye
Target entity description: Pye is an alternative transliteration of Pyay, a historic city in central Myanmar located on the Irrawaddy River.
  • A. Muye
    Muye was the site of an ancient Chinese battlefield where the Zhou forces decisively overthrew the Shang dynasty.
  • B. Eonyang
    Eonyang is a town in South Korea that serves as the administrative and commercial center of Ulju County in Ulsan.
  • C. Giha
    Giha is an alternate name for the Ha language, a Bantu language spoken primarily in western Tanzania.
  • D. Kangha
    Kangha is a small wooden comb that serves as one of the Five Ks in Sikhism, symbolizing cleanliness and discipline for initiated Sikhs.
  • E. Sennan
    Sennan is a coastal city in Osaka Prefecture, Japan, known for its proximity to Kansai International Airport and its role as part of the greater Osaka metropolitan area.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34e3420819084bb31170e643cd0 completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5d9673c8190ada27bef9220798d completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d6815e28819081788393cda63bc0 completed April 5, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_69d1d74e7a148190a9470745bfd7ad42 completed April 5, 2026, 3:30 a.m.
Created at: March 30, 2026, 8:33 p.m.