Triple

T9399692
Position Surface form Disambiguated ID Type / Status
Subject Toungoo Dynasty E226435 entity
Predicate capital P234 FINISHED
Object Pegu E276026 NE FINISHED

How this triple was built (2 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: Pegu | Statement: [Toungoo Dynasty, capital, Pegu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pegu
Context triple: [Toungoo Dynasty, capital, Pegu]
  • A. Pegu chosen
    Pegu is an important historical city in Lower Myanmar that once served as the political and cultural center of the Mon people and a major hub of regional trade and Buddhism.
  • B. Pambujan
    Pambujan is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and natural landscapes.
  • C. Praijing
    Praijing is a traditional village on Sumba Island in Indonesia, known for its distinctive high-roofed houses and preserved Marapu cultural practices.
  • D. Pakurumo
    Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
  • E. Pecile
    Pecile is a large colonnaded garden and pool complex within Hadrian’s Villa at Tivoli, designed as a central courtyard for leisure, reflection, and display of imperial grandeur.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5156b9588190bafb6b1c3ee3c0ed completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1012753088190bc73b7c577109e76 completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:46 p.m.