Triple

T10611567
Position Surface form Disambiguated ID Type / Status
Subject Ava E276019 entity
Predicate precededByCapital P24060 FINISHED
Object Pinya
Pinya was an early Burmese kingdom and royal capital in central Myanmar that played a key role in the political transition following the fall of the Pagan Empire.
 E874815 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: Pinya | Statement: [Ava, precededByCapital, Pinya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pinya
Context triple: [Ava, precededByCapital, Pinya]
  • A. Pinaya
    Pinaya is a small Bolivian village in the La Paz Department that serves as the traditional base and starting point for ascents of Mount Illimani.
  • B. Granadina
    Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
  • C. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • D. Macua
    Macua is an alternative name for Makhuwa, a major Bantu ethnic group and language community primarily found in northern Mozambique.
  • E. Samborondón
    Samborondón is a rapidly growing, affluent canton and town in coastal Ecuador, located across the river from Guayaquil and known for its upscale residential and commercial developments.
  • 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: Pinya
Triple: [Ava, precededByCapital, Pinya]
Generated description
Pinya was an early Burmese kingdom and royal capital in central Myanmar that played a key role in the political transition following the fall of the Pagan Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pinya
Target entity description: Pinya was an early Burmese kingdom and royal capital in central Myanmar that played a key role in the political transition following the fall of the Pagan Empire.
  • A. Pinaya
    Pinaya is a small Bolivian village in the La Paz Department that serves as the traditional base and starting point for ascents of Mount Illimani.
  • B. Granadina
    Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
  • C. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • D. Macua
    Macua is an alternative name for Makhuwa, a major Bantu ethnic group and language community primarily found in northern Mozambique.
  • E. Samborondón
    Samborondón is a rapidly growing, affluent canton and town in coastal Ecuador, located across the river from Guayaquil and known for its upscale residential and commercial developments.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df5a1450819082ad445712fb7868 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95ec61b388190adee9b3577567709 completed April 10, 2026, 8:34 p.m.
NEDg Description generation batch_69d95f824b3081908561f0d3748e3713 completed April 10, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69d9600a29808190af583d2fd696ec6a completed April 10, 2026, 8:39 p.m.
Created at: April 8, 2026, 7:33 p.m.